Abstract: The present invention relates to an ESS control device based on transient stability state and a method thereof, the an ESS control device based on transient stability state according to an embodiment of the present invention including an input unit receiving phase angle information from a power system; a calculation unit calculating a change rate in the phase angle of the power system using the phase angle information; a determination unit determining the transient stability state of the power system by comparing the change rate of the phase angle with a predetermined threshold; and a control unit performing control so that an energy storage system (ESS) installed in a power generation stage is switched to a charging mode according to the determination result.

Abstract: Devices and methods of allocating distributed energy resources (DERs) to loads connected to a microgrid based on the cost of the DERs are provided. The devices and methods may determine one or more microgrid measurements. The devices and methods may determine one or more real-time electricity prices associated with utility generation sources. The devices and methods may determine one or more forecasts. The devices and methods may determine a cost associated with one or more renewable energy sources within the microgrid. The devices and methods may determine an allocation of the renewable sources to one or more loads in the microgrid.

Abstract: Devices, methods, and systems for providing demand response are described herein. One device includes instructions executable to receive an indication of a demand response event, determine, based on a configuration made using a user interface, an action to be taken by a load of a facility in response to the demand response event, communicate the determined action to a controller associated with the load, and monitor a status of the action as the action is taken.

Abstract: A power feeding device which wirelessly transmits power towards a power receiving device equipped with a power receiving coil device, comprising: a magnetic structure having two magnetic bodies; and a power feeding coil device which receives power from a power supply and generates an alternating magnetic field, the mutual main surfaces of the two magnetic bodies face each other, and the two magnetic bodies are disposed to be separated at a predetermined distance, the power feeding coil device is disposed at any position between the two magnetic bodies, the two magnetic bodies receive the alternating magnetic field during power transmission, and a power feeding region in which transmitting power towards the power receiving coil device is possible is formed between the two magnetic bodies.

Abstract: A method for power sharing between a plurality of electrical appliances electrically coupled to an AC circuit is provided. The method can include obtaining, by one or more control devices of a first electrical appliance of the plurality of electrical appliances, data indicative of a request of a second electrical appliance of the plurality of electrical appliances to switch from a first power mode to a second power mode. In response to obtaining the data indicative of the request, the method can further include determining, by the one or more control devices, whether any of the plurality of electrical appliances are currently configured in the second power mode. Furthermore, in response to determining none of the plurality of electrical appliances are currently configured in the second power mode, the method can include transmitting, by the one or more control devices, data indicative of approval of the request.

Abstract: There is provided an electric power system monitoring apparatus that can estimate dynamic behavior constants using measurement signals and can obtain the accuracy of an estimation result. An apparatus according to the present invention that monitors an electric power system includes a dynamic behavior constant estimation unit to estimate a predetermined dynamic behavior constant from a measurement value obtained from the electric power system, a relative accuracy calculation unit to calculate, from the measurement value, a relative accuracy index that indicates accuracy of a dynamic behavior constant estimation value estimated at the dynamic behavior constant estimation unit, and an estimation error calculation unit to calculate an estimation error from reference dynamic behavior information, the dynamic behavior constant estimation value, and the relative accuracy index. Thus, after the accuracy of a dynamic behavior constant estimation value is grasped, a process using the estimation value can be executed.

Abstract: Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.

Abstract: A power distribution and control system for use with a bulk generation system having transmission and distribution systems, the power distribution and control system including a plurality of microgrids each including a power generation element and a load, a plurality of microgrid controllers each associated with one and only one of the plurality of microgrids, and a first communication network. A high-level controller is operable using the first communication network to communicate with the bulk generation system and each of the plurality of microgrid controllers, the high-level controller operable to coordinate the operation of the microgrids during normal system operation.

Abstract: Aspects extend to methods, systems, and computer program products for automatically commissioning an electrical system in industrial/commercial settings (e.g., a data center) to increase the likelihood that the electrical system functions as intended when released into production. Automated data collection devices can collect commissioning data related to electrical and other characteristics of electrical equipment. Automation software can access commissioning data from the automated data collection devices over a computer network. The commissioning data can be stored in a database for analysis. The commissioning data can be compared to pass/fail criteria and a commissioning report can be generated.

Abstract: A method for controlling an operating condition of an electric power grid having an intermittent power supply coupled thereto, comprising: using an energy variability controller, controlling variability of a delivered power output of the intermittent power supply to the grid by: monitoring an actual environmental value for a location proximate the intermittent power supply, an available power output of the intermittent power supply being dependent on the actual environmental value; when the actual environmental value is increasing and hence the available power output is increasing, increasing the delivered power output according to a predetermined rate of increase; monitoring a forecast environmental value for the location; when the forecast environmental value is decreasing, decreasing the delivered power output according to a predetermined rate of decrease; and, limiting the delivered power output to below a predetermined threshold. The electric power grid may be or may include an electric power microgrid.

Abstract: A dwelling power management system includes a smart power integrated node located at a dwelling and configured to transit information to and receive information from a remote server arrangement. The smart power integrated node selectively controls power applied to dwelling electrical power hardware components according to a recommended operating procedure (ROP). The system also includes a utility switch connected to the smart power integrated node, the utility switch configured to control distribution of electrical power received from a dwelling external power source. The smart power integrated node transmits dwelling power usage information and dwelling user preferences to the remote server arrangement that evaluates relevant information including dwelling power usage information and dwelling user preferences and dwelling external factors to develop an optimized ROP. The smart power integrated node operates according to the optimized ROP.

Abstract: A method for power consumption management in a datacenter. A processor retrieves a power usage model and historical power data for devices in the datacenter and calculates a first supply power from a power supplier that is available for distribution to the datacenter during a load shedding time period. A first power usage for the datacenter is calculated during the load shedding time period. The method further includes determining if the first supply power is greater than the first power usage for the datacenter during the load shedding time period. In response to determining that the first supply power is not greater than the first power usage, a first device in the datacenter is identified to reduce power consumption. The first device in the datacenter is triggered to reduce power consumption during the load shedding time period.

Abstract: Systems and methods to distribute power to individual power outlets are disclosed. A particular apparatus includes a memory having program code and a processor configured to access the memory and execute the program code to determine whether to allow power to be supplied to an individual power outlet. In one implementation, the determination is based on a current draw and a resistance reading associated with the power outlet.

Abstract: Embodiments provide a system for controlling HVAC/ACMV system of a building, including an occupancy pattern extractor configured to generate at least one facility-based occupancy pattern for each facility type based on historical occupancy data and spatial information of the building; a zone occupancy predictor configured to predict zone occupancy variation of each zone after a predetermined time period, based on the facility-based occupancy patterns and real-time occupancy data; a similar zone matcher configured to match each zone with one or more pre-stored zones and determine air handler configurations based on the matched pre-stored zones; a configuration generator configured to determine configuration combinations by combining the air handler configurations for a plurality of zones of the building, each configuration combination including one of the air handler configurations for each zone; and a configuration optimizer configured to determine an optimal configuration combination based on one or more key

Abstract: An electric power controlling section which controls transmission and reception of electric power between power grid and an electric power storage device, an energy source producing section which utilizes electric power supplied from power grid to produce an energy source, an energy information obtaining section which obtains information indicating a first electric amount which is the electric power amount supplied by the electric power storage device to the power grid during a first period, and a corresponding amount determining section which determines a first corresponding amount which is the amount of the energy source produced by the energy source producing section utilizing the amount of electric power corresponding to the first electric amount are included.

Abstract: A method for price optimization for a product or service at a store using machine learning is disclosed. The method includes determining a price through a reaction model, positioning model, and a forecast model. The reaction model includes determining the probabilities of a competitors' pricing reaction due to the store's price changes. The positioning model includes determining conditional probabilities for attaining an objective and/or sub-objective based on store and competitor's data. The conditional probabilities are used for generating a price proposal for achieving the objective and/or sub-objective. The forecast model provides a forecast for factors such as volume sale using machine learning.

Abstract: In a joint water boiler-air/air heat pump air conditioning system coupled to a photovoltaic system and intended to air condition a closed environment formed by one or more rooms and comprising an electrical system to which electrical appliances are connected, an electronic control system is programmed to compute electrical power production of the photovoltaic system and electrical power consumption of the electrical appliances in the closed environment, and, based thereon, a surplus electrical power production of the photovoltaic system with respect to the electrical power consumption of the electrical appliances in the closed environment. If a surplus of electrical power production of the photovoltaic system is determined to exist with respect to the electrical power consumption of the electrical appliances in the closed environment, it may be determined how many indoor units of the hot/cold air/air heat pump system can be electrically supplied simultaneously with the electrical power surplus.

Abstract: Systems and methods are provided for forecasting and managing daily electrical demands. In some embodiments, a computing platform may receive historical demand data corresponding to historical electrical demand over a first period of time. Next, the computing platform may determine a reference rate of change (ROC) and a statistical mode corresponding to a number of positive ROCs. After, the computing platform may receive current demand data corresponding to current electrical demand over a second period of time. Subsequently, the computing platform may determine an alarm condition corresponding to a daily peak electrical demand. Following, the computing platform may generate one or more commands directing a second computing platform to display the alarm condition. Afterwards, the computing platform may transmit the one or more commands directing the second computing platform to display the alarm condition.

Abstract: Methods and apparatus are presented herein for detecting an oilfield equipment unit of an oilfield wellsite from a visible image, overlaying the detected oilfield equipment unit of the visible image on a corresponding portion of a thermal image, and generating an alert when a temperature indicated by the corresponding portion of the thermal image is outside of an operational temperature range of the detected oilfield equipment unit. The methods and apparatus presented herein facilitate the monitoring of the health of oilfield equipment units that would otherwise be monitored by numerous sensors disposed about the oilfield wellsite.

Abstract: A system and method for controlling a number of load controllers (10), each of which is operatively connected to one or more electrical loads (6) that are connected to a grid, results in a reduction in tracking errors, which arise when aggregated local devices fail to deliver the expected amount of responsive load service. Each load controller (10) monitors the operating frequency of the grid network (8) and is adapted to adjust power consumption of one or more of its electrical loads (6) in response to excursions of the operating network frequency from its nominal value. The load controllers (10) are in communication with a remote controller (14) and aggregated together to provide a responsive load service. The remote controller (14) is adapted to monitor the deviation of grid frequency from its nominal value and to determine adjustments to the responsive load service delivered by the electrical loads of each load controller.

Abstract: An energy system is provided, including: a first placement unit for removably placing a mobile energy storage device capable of storing energy or energy sources; a second placement unit for removably placing the mobile energy storage device; an abnormality acquiring unit for acquiring an abnormality on an energy path used for energy exchange, the energy path built between a first energy consumer having the first placement unit and a first energy consuming device, and a second energy consumer having the second placement unit and a second energy consuming device; a mobile object for autonomously moving with the mobile energy storage device loaded thereon, so as to remove the mobile energy storage device from the first placement unit and place the mobile energy storage device on the second placement unit, if the abnormality acquiring unit acquires an abnormality when the mobile energy storage device is placed on the first placement unit.

Abstract: A solar photovoltaic (PV) water heating system includes a tank including at least a first heating unit having at least first and second heating elements, at least one of which is switchable; a PV solar collector; an inverter adapted to convert the output from the PV collector to an alternating power supply; a modulator to modulate the alternating power supply from the inverter; a controller adapted to control the modulator and the switching of the or each switchable heating element; wherein the controller is adapted to control the modulator and the switchable heating elements to maximize the energy drawn from the PV collector.

Abstract: A controller for central plant equipment obtains a model of one or more sources configured to supply input resources, one or more subplants configured to convert the input resources to output resources, and one or more sinks configured to consume the output resources. The controller generates a resource balance constraint that requires balance between a first amount of each resource and a second amount of each resource. The first amount of each resource includes a sum of an amount of the resource supplied by the sources and an amount of the resource produced by the subplants. The second amount of each resource includes a sum of an amount of the resource consumed by the subplants and an amount of the resource consumed by the sinks. The controller performs an optimization of an objective function subject to the resource balance constraint to determine target amounts of each resource to be produced or consumed by the central plant equipment at a plurality of times within an optimization period.

Abstract: A system for controlling operation of a plurality of appliances includes first and second appliances. The first appliance is configured to report a power consumption via a network. A second appliance is configured to operate dependent on the power consumption reported by the first appliance.

Abstract: Provided herein are systems, methods and computer programs for generating a facility reconfiguration plan (FRP) useful to reconfigure a facility's energy system to achieve a financial objective. The facility's energy system and associated economics are characterized prior to any modifications. Additionally, there's a determination of which of a plurality of potential modifications, if any, is to be added to the FRP by determining which of the potential modifications provides a financial benefit useful to achieve the financial objective, and has a greatest financial attractiveness. The FRP is generated by repeating the aforementioned determination multiple times, wherein during iterations following an initial iteration, potential modification(s) already identified as providing a greatest financial attractiveness during previous iteration(s) is/are removed from consideration.

Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: An apparatus, the apparatus includes a simulator, an interface, and a microgrid. The simulator includes a model of a physical electrical network. The interface is coupled to the simulator. The microgrid is coupled to the interface and includes a plurality of electrical elements that represent aspects of the physical electrical network. The simulator receives requests to analyze performance of the physical electrical network, responsively produces signals that are converted to control signals by the interface and applied to the microgrid, the microgrid providing feedback.

Abstract: An example device includes a processor configured to receive a plurality of voltage values representing respective voltage magnitudes at voltage nodes in a first portion of a power system and determine, for each voltage node, a respective value of first and second voltage-constraint coefficients. The processor is also configured to receive a power value corresponding to a connection point of the first portion of the power system with a second portion of the power system and determine for the connection point, a respective value of first and second power-constraint coefficients. The processor is also configured to cause at least one energy resource connected to the first portion of the power system to modify an output power of the at least one energy resource based on the value of the first and second voltage-constraint coefficients for each voltage node and the value of the first and second power-constraint coefficients.

Abstract: The invention provides an electric grid state estimation system and method based on a boundary fusion. The system includes an electric grid data acquisition module, a communication module including a local data unit and a state estimation unit, and a data fusion module, wherein the state estimation unit includes a memory storing a state estimation program and a display displaying a program running and outputting a state variable; the state estimation program is performed to realize an electric grid state estimation; the estimation method includes the following steps of dividing a regional electric grid, then establishing a measurement equation for each region, solving an internal quantity and a boundary quantity, fusing the boundary quantities of two regions, correcting the boundary quantity, performing a non-linear transformation on the intermediate variable, solving the estimated values of the state variable by the least square method, and performing outputting.

Abstract: A vehicle includes a power system that is couplable to a power network. A controller is configured to communicate with appliances coupled to the power system and programmed to operate the appliances to prevent current demand of the appliances from exceeding a peak operating current of the power system and to balance current demand to prevent exceeding a nominal current rating of the power system for more than a predetermined time.

Abstract: Systems, methods, and apparatus for smart electric power grid communication are disclosed in the present invention. At least one grid element is constructed and configured in network-based communication with a server via at least one coordinator. The at least one grid element is transformed into at least one active grid element automatically and/or autonomously after initial connection with the server. The at least one active grid element sends and receives messages to and from the server via at least one coordinator. The at least one coordinator matches and prioritizes the at least one active grid element. The at least one coordinator provides a priority flag on the messages. The at least one coordinator tracks an actual amount of power introduced to and available for an electric power grid or a curtailment power available from the at least one active grid element.

Abstract: There is provided a soft-start switch circuit working in conjunction with a pre-existing computer power delivery system or being an integral part of such a system, for power delivery to at least one component of a computer, comprising at least one separated power supply path. The soft-start switch circuit is configured to receive command/s to activate or deactivate power delivery to the at least one computer component, output a voltage ramped up to a fixed level to the at least one computer component on the at least one separated power supply path when the activation command is received, discontinue power delivery when the deactivation command is received, and receive and transmit a signal stating whether an adequate voltage and current level is received by the at least one computer component. A corresponding method is also provided.

Abstract: An energy consumption management system and an energy consumption management method are provided. The method includes detecting an electricity status of an electronic device at a current time point to generate electricity detection data; calculating an energy consumption parameter set having a plurality of energy consumption parameters; determining a plurality of feature value corresponding to a plurality of feature rules according to the energy consumption parameters and the feature rules, wherein the feature values form a feature set corresponding to the current time point; determining a current energy consumption operation status of the electronic device according to the feature values and an activity model corresponding to the electronic device; and controlling the electronic device according to the current energy consumption operation status and a preset operation schedule of the electronic device.

Abstract: A central plant optimization system for designing and operating a central plant includes a planning tool, a central plant controller, and an optimization platform. The planning tool is configured to generate a model of the central plant. The central plant controller is configured to receive the model of the central plant from the planning tool and combine the model of the central plant with timeseries data including a timeseries of predicted energy loads to be served by equipment of the central plant. The optimization platform is configured to receive the model of the central plant combined with the timeseries data, construct an optimization problem using the model of the central plant and the timeseries data, solve the optimization problem to determine an optimal allocation of the energy loads across the equipment of the central plant, and provide optimization results to the central plant controller.

Abstract: During operation, the system obtains time-series sensor signals gathered from sensors in an asset during operation of the asset in an outdoor environment, wherein the time-series sensor signals include temperature signals. Next, the system produces thermally-compensated time-series sensor signals by performing a thermal-compensation operation on the temperature signals to compensate for variations in the temperature signals caused by dynamic variations in an ambient temperature of the outdoor environment. The system then trains a prognostic inferential model for a prognostic pattern-recognition system based on the thermally-compensated time-series sensor signals. During a surveillance mode for the prognostic pattern-recognition system, the system receives recently-generated time-series sensor signals from the asset, and performs a thermal-compensation operation on temperature signals in the recently-generated time-series sensor signals.

Abstract: Apparatuses, systems, methods, and computer program products are presented for a building-automation system controller. A building-automation system controller manages and/or controls energy, thermal, and/or functional systems and subsystems thereof utilizing a sensor, a physical model, a simulation engine, one or more predictive control loops, an optimal cost function, and an error band. A control loop is designed to utilize a simulation engine to predict a simulated predicted sensor value of a controlled system under a simulated control regime. A simulated control regime having an optimal cost function is selected for a controlled system until the controlled system diverges from the simulated predicted sensor value beyond an error band indicating uncertainty in a predicted future behavior so that a control loop is formed utilizing a simulation engine to predict a different future behavior in response to the controlled system diverging from the simulated predicted sensor value.

Abstract: An example method comprises receiving an initial topology of an electrical, receiving a selection of a region of interest, determining one or more external equivalents of the electrical network that are external to the region of interest, determining one or more internal equivalents of the region of interest, calculating a sensitivity matrix based on electrical impedances of at least one of the one or more internal equivalents and based on an amount of power exchanged when in operation, determining a subset of the sensitivity matrix as indicating highly sensitive buses, receiving historical data regarding power flows, predicting power flow for each highly sensitive buses, comparing the predicted power flow to at least one predetermined threshold to determine possible network congestion, and generating a report regarding network congestion and locations of possible network congestion in the region of interest based on the comparison.

Abstract: Systems and methods for automatically re-energizing a vehicle. A vehicle determines a current energy source level in the vehicle's energy storage system. When the current energy source level is less than a threshold energy source level, a forthcoming location of the vehicle where the vehicle is non-operational is identified. Additionally, a window of time where the vehicle is located at the forthcoming location is identified. A mobile energy delivery (MED) vehicle is dispatched to the forthcoming location within the window of time to re-energize the vehicle.

Abstract: A controller for equipment obtains utility rate data indicating a price of one or more resources consumed by the equipment to serve energy loads. The controller generates an objective function that expresses a total monetary cost of operating the equipment over an optimization period as a function of the utility rate data and an amount of the one or more resources consumed by the equipment at each of a plurality of time steps. The controller optimizes the objective function to determine a distribution of predicted energy loads across the equipment at each of the plurality of time steps. Load equality constraints on the objective function ensure that the distribution satisfies the predicted energy loads at each of the plurality of time steps. The controller operates the equipment to achieve the distribution of the predicted energy loads at each of the plurality of time steps.

Abstract: A method includes defining a plurality of monitored spaces. For each of at least a subset of the plurality of monitored spaces, the method includes associating a set of laboratory equipment with the monitored space, calculating an equipment utilization score for the monitored space based on resource consumption data for the set of laboratory equipment, calculating an occupancy utilization score for the monitored space based on occupant tracking data for the monitored space, and calculating a combined utilization score based on the equipment utilization score and the occupancy utilization score. The method also includes providing a graphical user interface comprising the combined utilization scores for the subset of the plurality of monitored spaces.

Abstract: A gateway device thins a plurality of devices to select a plurality of transmission target devices from among the plurality of devices, and transmits data of the transmission target devices to a server device. The server device receives the data of the transmission target devices from the gateway device, and uses the data of the transmission target devices to estimate a value of data of a removed device by interpolation.

Abstract: The present disclosure provides an intelligent lighting control system. The lighting control system includes a module housing, a graphical user interface coupled to the module housing and a switch control circuit positioned in the housing and including a processor. The processor is configured to modulate the flow of electrical energy to a lighting circuit via a dimmer circuit. The switch control circuit is electrically connected to the graphical user interface. The processor is also configured to identify a device identification address compare the identified device address with one or more registered identification addresses saved in a dataset. The processor is configured to catalogue a command received at the processor and at least one event parameter detected contemporaneously with receipt of the command, if the identified proximate device identification address corresponds to one of the one or more registered device identification addresses saved in the dataset.

Abstract: The invention relates to a method for correcting deviations of power produced by a power plant which includes at least one wind turbine generator and possibly other types of power generating units. The power deviations, i.e. deviations from a power reference for the power plant, are determined as energy errors. The invention addresses solutions for determining and compensating the energy errors.

Abstract: An asset manager controls power distribution within an aggregated distributed energy resources system (“DERs system”) having a plurality of assets. The asset manager is configured to operate with a given asset. As such, the asset manager has 1) an interface to receive asset information relating to the given asset and to communicate with another asset manager in the DERs system, and 2) a function generator configured to produce a local cost function using data relating to the given asset only. The local cost function represents a portion of a system cost function for the DERs system. The asset manager also has 3) a controller configured to use the local cost function for the given asset to manage operation of the given asset in the DERs system. In addition, the controller also is configured to determine, using the local cost function, an operating point for the given asset.

Abstract: A technique is described herein for using computing technology to intelligently manage the consumption of a resource in a physical environment and/or controlling the physical environment in other ways. The technique maintains environment information that describes entities within the physical environment, together with the relationships among the entities. The technique leverages the environment information and collected sensor data to generate forecast data using one or more machine-trained models. The technique then leverages the environment information, sensor data, and forecast data to generate a control plan. The control plan provides a strategy for controlling the physical environment that satisfies a specified optimization objective. In one use case, the technique contributes to the efficient consumption of power provided by a distribution system by avoiding consumption of power in periods in which the distribution system is expected to experience high loads.

Abstract: A method for predicting when a grid will exceed production capacity including generating time shifted versions of consumption data for each of the buildings, each version comprising consumption values along with time and temperature values, where the consumption values are shifted by lag values relative to the time and temperature values, and where each lag value is different; performing a regression analysis on each version to yield corresponding regression model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, regression model parameters, and lags for all of the buildings to estimate a cumulative consumption for the buildings, and to predict the time when the grid will exceed production capacity; and receiving the time when the grid will exceed production capacity, and preparing and commencing exceptional measures required to manage the consumption.

Abstract: Systems and methods for controlling an energy storage system are provided. In one embodiment, a method for controlling an energy storage system includes receiving a power demand associated with a grid service operation for an energy storage system and accessing data indicative of a time shift for responding to the power demand. The method includes implementing the time shift in the power demand to obtain a time shifted power demand; and controlling the charge or discharge of one or more energy storage devices in the energy storage system based at least in part on the time shifted power demand.

Abstract: A method for predicting when consumption on a grid will exceed normal capacity for buildings including generating time shifted versions of consumption data for the buildings, each version comprising consumption values along with time and outside temperature values, where the energy consumption values within each version are shifted by one of a plurality of lag values relative to the time and outside temperature values; performing regression analysis on each version to yield regression model parameters and a residual; determining a least valued residual indicating an energy lag for each of the buildings; using outside temperatures, regression model parameters, and energy lags to estimate a cumulative consumption for the buildings, and to predict when consumption on the grid will exceed normal capacity; and receiving the time when consumption on the grid will exceed normal capacity, and preparing and commencing exceptional measures required to manage the consumption.

Abstract: An apparatus in one embodiment comprises at least one processing device. The processing device comprises a processor coupled to a memory, and is configured to obtain energy usage data generated by advanced metering infrastructure of a particular energy usage location of an electrical distribution system, to model a virtual localized energy storage device for the particular energy usage location, and to execute an algorithm to control charging and discharging of the virtual localized energy storage device based at least in part on the energy usage data and associated pricing data of the electrical distribution system. The processing device is further configured to provide an interface through which a user can adjust one or more parameters for controlling energy usage at the particular energy usage location based at least in part on a charge state of the virtual localized energy storage device.

Abstract: A system having at least one controllable producer configured to produce at least one first energy amount, at least one non-controllable producer configured to produce at least one second energy amount in which the non-controllable producer is assigned to the controllable producer to form an electrical producer arrangement. The at least one second energy amount to be produced by the non-controllable producer is forecasted during at least one future time period, and the controllable producer is controlled based on the at least one forecasted second energy amount such that total energy amount supplied by the electrical producer arrangement to an electrical network during the future time period corresponds to a predefinable total energy amount.