Abstract: The present disclosure is directed to a method for performing energy analytics in a building management system. The method can include collecting respective data samples of one or more variables from building equipment during a first period of time and a second period of time. The method can include calculating a first plurality of values for one or more energy audit metrics based on the data samples collected during the first period of time and the second period of time. The method can include comparing the first plurality of values and second plurality of values. The method can include displaying, based on the comparison, at least one of the first plurality of values and/or at least one of the second plurality of values on a dashboard to facilitate adjustment of the one or move variables.

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 prediction calculator uses a prediction model to determine a predicted value of an amount of power to be generated by a power generation apparatus and a predicted value of an amount of power to be consumed by an appliance. The predicted values are associated with accuracy information. An operation planner makes an operation plan using the predicted values determined by the prediction calculator, a user schedule included in user setting information, and an electricity rate table or weather forecast information. When the accuracy of the predicted value is lower than a predetermined reference, the operation planner makes the operation plan only using other information without using the predicted value.

Abstract: A vehicle is configured to perform plug-in charging for charging a battery mounted in the vehicle with electric power supplied through a charging cable from a charging stand. The vehicle includes: an inlet to which a connector of the charging cable is connectable; and an ECU configured to control a supply current from the charging stand such that the supply current does not exceed a maximum allowable current. The ECU is configured to obtain specific information as to whether or not the charging stand is provided with a cooling mechanism for cooling the connector and the inlet. The ECU is configured to set the maximum allowable current to be higher when the charging stand is provided with the cooling mechanism than when the charging stand is not provided with the cooling mechanism.

Abstract: A virtual power plant is presented. A virtual power plant couples to one or more virtual power plant units that provide power and/or storage of power to a power grid. In some embodiments, a method of operating a virtual power plant includes receiving a request from a requester; determining whether the request can be performed by a set of units; reporting the result to the requester; and if a subsequent execution request is received from the requester, then executing the request.

Abstract: A static transfer switch is provided for supplying power to a load alternately from two different power sources. Switching between the two power sources may occur within a fraction of one electrical cycle. In response to sensing degraded performance in the power source supplying the load, a main circuit is turned off with a resonant turn off circuit. The resonant turn off circuit is shared between the main circuits of two different power sources such that the resonant turn off circuit is connected to the main circuit of whichever power source is currently supply power to the load.

Abstract: The disclosed system provides an adaptive control system technique generally related to distributed energy resources (DERs) located in distribution circuits. More specifically, the system technique relates to a DER with both active and reactive generation capability. In an embodiment, the system measures a voltage phase angle and a current phase angle of distribution feeder circuit, and measures a voltage value output by a power converter. The system calculates an active power setpoint value and a reactive power setpoint value of the power converter based on the measured voltage value, and the measured voltage phase angle and current phase angle. The system then sets the active and reactive power setpoint values on the power converter. The disclosed system automatically adjusts the setpoints to real-time load characteristics of the distribution feeder circuit, increases distribution feeder hosting capacity, and enables DERs to integrate in distribution feeders more efficiently.

Abstract: A management device includes at least one processor communicatively coupled to at least one energy resource controller controlling at least one energy resource and to at least one deferrable load controller controlling power to at least one deferrable load. The is configured to receive an indication, determined based on a frequency value of an electrical network and a nominal frequency value, that a frequency anomaly event has occurred. Responsive to receiving the indication that the frequency anomaly event has occurred, the processor is also configured to determine, for at least one of the energy resource and the deferrable load, based on the frequency value, the nominal frequency value, and a power value of the electrical network, a respective power command, and cause at least one of the at least one energy resource and the at least one deferrable load to modify operation based on the respective power command.

Abstract: A driving system includes an engine an engine, a motor generator, a gear mechanism, and a controller. The gear mechanism couples the engine and the motor generator to each other. The gear mechanism includes first and second gears. The first and second gears are configured to be supplied with first driving torque from the engine and second driving torque from the motor generator, respectively. The second gear meshes with the first gear. The controller is configured to perform torque control of the engine to make a rate of variation in the first driving torque at the first gear at a time when the following conditional expression (1) is satisfied smaller than that at a time when the following conditional expression (1) is not satisfied. |T2?T1|<Th1??(1) T1 is the first driving torque, T2 is the second driving torque, and Th1 is a first threshold.

Abstract: A device may receive a power demand for a load and a weather forecast for a time period. The device may determine a first supply of power available from a photo-voltaic (PV) installation for the time period based on the weather forecast. The device may determine a power deficit for the time period based on the power demand and the first supply of power. The device may determine a first cost associated with utilizing a second supply of power available from a battery and a second cost associated with utilizing a third supply of power available from an engine for the time period. The device may determine a power source to overcome the power deficit based on the first cost and the second cost and may cause the PV installation and the power source to supply power to satisfy the power demand for the load.

Abstract: Methods, apparatus, and processor-readable storage media for automated capacity management using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining image data pertaining to occupancy of a confined space; determining a level of occupancy in the confined space and one or more types of entities occupying the confined space by processing the image data using a first set of one or more artificial intelligence techniques comprising at least a first machine learning model; automatically determining one or more capacity management parameters with respect to the confined space by analyzing the determined level of occupancy and the one or more determined types of entities using a second set of one or more artificial intelligence techniques comprising at least a second machine learning model; and performing one or more automated actions based at least in part on the one or more determined capacity management parameters.

Abstract: Provided is a method for operating a wind farm having a plurality of wind energy installations or a wind energy installation for feeding electrical power into an electrical supply grid, comprising the steps of: feeding electrical power into the electrical supply grid, identifying a forecast power, which describes a power that can be fed in in a predetermined, future forecast period by the wind farm or the wind power installation, determining a reduction forecast power, which denotes, for the forecast period, a power by which the power fed in in the forecast period can be reduced, and supplying the reduction forecast power as negative control power, wherein the reduction forecast power is determined depending on the forecast power and depending on a controllable consumption power, wherein the controllable consumption power describes a power that can be consumed on demand in the forecast period by controllable consumers present in the wind farm or in the wind power installation.

Abstract: A computer system can be configured to: receive, in a low-precision mode, first status data generated by one or more sensors, the first status data reflecting technical parameters of a technical system, the first status data exhibiting a first precision level; apply a low-precision machine learning model to analyze the first status data for one or more indicators of an abnormal technical status, the machine learning model having been trained with data exhibiting the first precision level; send, based on an abnormal technical status being indicated, instructions for the one or more sensors to generate second status data exhibiting a second precision level, the second precision level being associated with greater accuracy than the first precision level; receive the second status data exhibiting the second precision level based on the sent instructions; providing the second status data to a data analyzer.

Abstract: A controller is configured to obtain a cost function defining a cost of operating building equipment over a time period. The cost function includes a revenue term defining revenue to be obtained by operating the equipment to participate in an incentive program over the time period. The controller is configured to modify the cost function to account for an initial purchase cost of a new asset to be added to the equipment and an effect of the new asset on the cost of operating the equipment. The initial purchase cost of the new asset and the effect of the new asset on the cost of operating the equipment are functions of asset size variables. The controller is also configured to perform an optimization of the modified cost function to determine values for energy load setpoints, the asset size variables, and participation in the incentive program over the time period.

Abstract: Personal electronic devices are organized into a personal electronic device network. One of the personal electronic devices is designated as a device management hub. Based on contextual information from the personal electronic device network, a current activity of a user is predicted, and based on the predicted current user activity and the contextual information, one or more hierarchy is cognitively derived. The device management hub uses one of the hierarchy to contextually assign user input to one of the personal electronic devices for processing. Cognitively predicting the current user activity can include analyzing, by the device management hub, contextual information from the personal electronic devices.

Abstract: A power-distribution-system management apparatus according to the present invention includes a communication unit that acquires an amount of insolation, which is a measurement value measured by a pyranometer, via a communication network, which is used to collect a measurement value of a smart meter that measures electric energy, and a meter-data management apparatus and a power-generation-amount estimating unit that estimates, on the basis of the amount of insolation, a power generation amount of each of two or more solar power generation facilities connected to a power distribution line of a high voltage system.

Abstract: A method and apparatus for operating a power distribution system includes a power converter adapted to receive a power supply and convert the power supply to a power output, a set of solid state switching elements connected with the power output, a set of sensors adapted to sense a power demand at the set of solid state switching elements, and a controller module communicatively connected with the set of sensors and the set of solid state switching elements.

Abstract: A method for controlling the charging of one or more electric vehicles at one or more charging stations in a geographic locality includes determining if the charging event of an electric vehicle of the one or more electric vehicles increases a demand billing rate. The demand billing rate may be a cost per unit of energy in the locality. The method also includes charging the electric vehicle at the charging event such that the demand billing rate is not increased.

Abstract: Providing workload mobility between disparate execution environments, including: identifying, by a workload migration module, a workload executing in a first environment, wherein the workload includes a software application that is being executed and data that is accessed by the software application; identifying, by a workload migration module, a second environment for servicing the workload; and deploying, by a workload migration module, the workload in the second environment.

Abstract: A system for fault detection and diagnostics of equipment. The system may also be capable of disaggregation and/or virtual submetering of energy consumption by equipment, such as that of heating, ventilation and air conditioning, lighting, and so forth, in a building. Vibration and current sensors, along with one or more algorithms, may be utilized for fault detection and diagnostics of equipment. Models may be developed to aid in deducing energy consumption of individual components of equipment, and the like, for a building.

Abstract: An energy storage system is provided. The energy storage system includes a battery, a power conversion system, and an energy management system configured to control the power conversion system to supply power to the power consumption system using at least one of a power received from an outside or a power charged in the battery. The energy management system estimates power consumption amounts of the power consumption system for each unit time period in a predetermined time period, a reference power amount based on the battery power charged in the battery and the power consumption amounts, and based on the power consumption amounts and the reference power amount, controls the power conversion system to supply power to the power consumption system using the external power and the battery power during the predetermined time period.

Abstract: A method and an apparatus are provided for predicting the temporal course of a power requirement in a housing development comprising a plurality of power consumers and a common power supply that is subject to a temporally variable tariff. A prediction of the power consumption of the housing development for a future time period is continuously updated, each prediction of the power consumption using data of detected load profiles of the housing development in the time period having, a current prediction for the future time period being calculated on the basis of a previous prediction and a previously detected load profile The predictions and the detected load profiles are assigned characteristic variables, the predictions of which are known and which have an influence on the load profiles, and a current prediction for the future time period being calculated on the basis of a previous prediction and a previously detected load profile, each having the same characteristic variables.

Abstract: Embodiments for fault diagnosis and analysis of refrigeration condenser systems by a processor. An energy usage anomaly is detected in a condenser by comparing an energy usage profile of the condenser against a knowledge domain of energy usage standards and energy usage standards anomalies.

Abstract: An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to obtain a system of nonlinear equations characterizing a physical system, to construct a flexible embedded system from the system of nonlinear equations, wherein the flexible embedded system is configurable with any of a plurality of arbitrary reference states as respective starting points, to utilize the flexible embedded system to generate at least one output providing a solution to the system of nonlinear equations, and to establish one or more operating parameters of the physical system based at least in part on the output generated utilizing the flexible embedded system. The physical system is configured in accordance with the one or more established operating parameters. The physical system in some embodiments illustratively comprises an electric power system, an integrated circuit, or another type of electrical or electronic system or circuit.

Abstract: An energy management apparatus, according to an embodiment of the present invention, comprises: a storage unit for storing an operation schedule of the energy management apparatus; a sensing unit for detecting a control signal of at least one energy apparatus in a system including the energy management apparatus; and a control unit for determining whether temporary patterns pass a preset criterion by counting the temporary patterns corresponding to the detected control signal, and updating the operation schedule such that the temporary patterns are added on the basis of determination results.

Abstract: A building energy system includes equipment operable to consume, store, or generate one or more resources subject to a block-and-index rate structure. The building energy system includes a controller configured to obtain a cost function that represents a block of the resource(s) from the utility provider as being sourced from a first supplier at a fixed rate and a remainder of the resource(s) from the utility provider as being sourced from a second supplier at a variable rate. The controller is configured to optimize the cost function to generate values for one or more decision variables that indicate an amount of resource(s) to purchase, store, generate, or consume at each of a plurality of time steps, and control the equipment to achieve the values of the one or more decision variables at each of the time steps.

Abstract: According to embodiments of the present invention, techniques are provided for producing energy from one or more energy production sources. Energy consumption and energy production sources for an entity in a geographic location are analyzed. Sensor data based on the analysis of the entity is collected, wherein the sensor data includes crowdsourced sensor data. A model is generated based on the collected sensor data and the analysis of the entity, wherein the model includes optimization criteria for energy production. The model is utilized to determine an energy production source and energy production for the entity. Occurrence of a triggering event is detected, and the energy production source is adjusted based on the detected triggering event. The model is updated based on newly collected sensor data.

Abstract: Systems and methods for time use optimization are provided. One embodiment of a method includes determining time of use pricing data associated with purchase of energy from an energy provider, partitioning a predetermined amount of time into a plurality of segments, where the plurality of segments corresponds with the higher cost tier and the lower cost tier, and creating an energy set point schedule for setting a set point of a controllable device, where the energy set point schedule sets the set point of the controllable device to a predetermined value for each of the plurality of segments. Some embodiments include determining energy utilized by the controllable device during at least a portion of the energy set point schedule and iteratively altering the energy set point schedule, based on a comparison of the energy utilized and a current status of the energy set point schedule.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a neural network to predict locations of feeders in an electrical power grid. One of the methods includes training a generative adversarial network comprising a generator and a discriminator; and generating, by the generator, from input images, output images with feeder metadata that represents predicted locations of feeder assets, including receiving by the generator a first input image and generating by the generator a corresponding first output image with first feeder data that identifies one or more feeder assets and their respective locations, wherein the one or more feeder assets had not been identified in any input to the generator.

Abstract: The present disclosure provides a control method, device and system for a wind turbine. The control method includes: acquiring current working conditions of a power system, a yaw system and a communication system of the wind turbine when a typhoon warning signal is received; determining a target control strategy corresponding to the current working conditions according to a preset corresponding relationship between control strategies and working conditions of the power system, the yaw system and the communication system, wherein the control strategies may include an active windward strategy for controlling the yaw system to face typhoon wind direction, a controlled passive leeward strategy for controlling the yaw system to face opposite to the typhoon wind direction, and a passive leeward strategy for adjusting the yaw system to face opposite to the typhoon wind direction; and controlling the wind turbine by using the target control strategy.

Abstract: Systems and methods for high efficiency power conversion are provided. In one embodiment, a high efficiency electric power converter circuit comprises: an electric power converter that provides a first electric power output; a storage device that provides a second electric power output; and a power arbitrating switch that receives the first and second electric power outputs and selectively supplies a third electric power output using at least one of the first electric power output and the second electric power output. The switch is configured with a first sensor to measure a charge level of the device and with a second sensor to measure a power demand drawn from the third electric power output. The power arbitrating switch switches the third electric power output between being supplied from the first electric power output and being supplied from the second electric power output based on the power demand and the charge level.

Abstract: An energy storage system for a building includes a battery asset configured to store electricity and discharge the stored electricity for use in satisfying a building electric load. The system includes a planning tool configured to identify one or more selected functionalities of the energy storage system and generate a cost function defining a cost of operating the energy storage system over an optimization period. The cost function includes a term for each of the selected functionalities. The planning tool is configured to generate optimization constraints based on the selected functionalities, attributes of the battery asset, and the electric energy load to be satisfied. The planning tool is configured to optimize the cost function to determine optimal power setpoints for the battery asset at each of a plurality of time steps of the optimization period.

Abstract: In some embodiments, an electric vehicle sends a vehicle charging request to a supervisory service. The electric vehicle receives, from the supervisory service in response to the vehicle charging request, a location of a telecommunication node of a telecommunication network that is configured to provide charging to electric vehicles. The electric vehicle navigates to the received location of the telecommunication node. The vehicle initiates charging of the electric vehicle at the location of the telecommunication node.

Abstract: A target function is optimized in the predictive operational planning in a microgrid with a connection to a main electricity grid. The target function takes into account a power draw of the microgrid from the main electricity grid in at least one high-load time window of the main electricity grid.

Abstract: An intelligent control system includes intelligent thermostats and controls an environment, such as a residential living space, commercial building, or another environment. The intelligent control system obtains information related to the controlled environment by collecting sensor data, obtaining data from users during interactive information-exchange sessions, and by directing information queries to users on one or more user devices.

Abstract: Unique systems, methods, techniques and apparatuses of fault mitigation are disclosed. One exemplary embodiment is a fault mitigation system for a medium voltage alternating current (MVAC) distribution network including a direct current (DC) link and a control system. The DC link is coupled to a first feeder line and a second feeder line. The control system is structured to determine a first feeder line is deenergized, operate the DC link so as to receive MVAC from a second feeder line and output low voltage alternating current (LVAC) to the first feeder line, operate a plurality of isolation devices, measure the LVAC in response to operating the plurality of isolation devices, determine a fault is isolated from a healthy portion of the first feeder line using the received LVAC measurements, and reenergize the healthy portion of the first feeder line.

Abstract: A method of applying feedback control on peripheral units supplying energy to manufacturing units in a manufacturing facility uses a trained model, and includes: mapping supply relations between peripheral units and manufacturing units into a schema; establishing communications with sensors monitoring peripheral unit metrics indicative of energy transfer from the peripheral units to the manufacturing units; training the model based on the schema and training data gathered by communication with the sensors during a training period, the trained model predicting energy usage by the peripheral machines with a specified degree of accuracy; and during a control period following the training period, gathering further data from the sensors and minimizing energy usage by the peripheral units while supplying the total energy demanded by the manufacturing units by controlling at least one of the peripheral units based on an outcome of inputting the further data into the trained model.

Abstract: Aspects of the subject technology relate to methods and systems for calculating a customer activity score (CAS). In some aspects, a method of the subject technology includes steps including aggregating behavior information for each of a plurality of utility customers, the behavior information including historic consumption data for at least one consumable resource, and calculating, and using the behavior information, a customer activity score (CAS) for one or more of the utility customers. In some aspects, the method can also include steps for generating customer content for at least one of utility customers based on a corresponding CAS value. In some aspects, systems and computer-readable media are provided.

Abstract: Systems and methods for optimal planning and real-time control of energy storage systems for multiple simultaneous applications are provided. Energy storage applications can be analyzed for relevant metrics such as profitability and impact on the functionality of the electric grid, subject to system-wide and energy storage hardware constraints. The optimal amount of storage capacity and the optimal operating strategy can then be derived for each application and be prioritized according to a dispatch stack, which can be statically or dynamically updated according to data forecasts. Embodiments can consist of both planning tools and real-time control algorithms.

Abstract: A method of designing an optimized heating and cooling system includes: (1) automatically importing data from an energy model into an optimization model; (2) simulating energy use of a virtual heating and cooling system operating a thermal source or sink with the optimization model based upon the data from the energy model to obtain an optimized system design; (3) developing controls for an actual heating and cooling system based upon the optimized system design; and (4) automatically exporting the controls directly to a controller for the actual heating and cooling system.

Abstract: Methods and systems for controlling a building. An illustrative method includes receiving sensor data from one or more sensors of the building, using the received sensor data to control one or more building management components to control one or more environmental conditions within the building, normalizing the sensor data and storing the normalized sensor data, comparing the normalized sensor data with normalized sensor data from one or more other buildings to identify one or more anomalies associated the building, and providing a recommended action to improve at least one of the one or more identified anomalies of the building.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a thermostat-based demand response event. In one aspect, a method includes accessing, for sites, historical readings of HVAC activity, indoor temperature, and outdoor temperature and building a model for each of the sites using the historical readings of HVAC activity, indoor temperature, and outdoor temperature. The method also includes using a simulation engine to achieve a target load shed and load reduction shape for a thermostat-based demand response event, and performing the thermostat-based demand response event based on results of the simulation engine.

Abstract: An energy optimization system for participating in a capacity market program (CMP) includes one or more memory devices storing instructions, that, when executed on one or more processors, cause the one or more processors to receive a nominated capacity value, generate an objective function and one or more CMP constraints, wherein the one or more CMP constraints cause an optimization of the objective function with the CMP constraints to generate a resource allocation that reduces the load of the facility by the nominated capacity value in response to receiving the dispatch from the utility, receive the dispatch from the utility, optimize the objective function based on the nominated capacity value, the dispatch, and the one or more CMP constraints to determine the resource allocation, and control one or more pieces of building equipment based on the determined resource allocation.

Abstract: A load management system for a hydroelectric power plant, includes a power generator configured to generate electrical energy from a flow of water for supplying a power grid, a virtual reservoir configured to store the generated electrical energy and dispatch the stored electrical energy to the power grid; a plurality of circuit breakers that connect an output of the power generator to the power grid and to the virtual reservoir; and a control unit configured to control operating states of the plurality of circuit breakers so that the generated electrical energy is stored at the virtual reservoir and at least one of the generated electrical energy or the stored electrical energy is provided to the power grid.

Abstract: The present disclosure provides systems and methods for reducing energy use in buildings. A data centre receives source data from one or more building systems and/or one or more external sources. A plurality of energy optimization strategies are applied to at least a subset of the source data to determine a set of proposed output values for each energy optimization strategy, independently of each other, wherein each set of proposed output values includes at least one equipment set point. Conflicts between the sets of proposed output values are resolved, to generate a set of harmonized output values. The set of harmonized output values is transmitted to the one or more building control systems through one or more gateway devices.

Abstract: According to one embodiment, an operation planning system includes a storage and a plurality of planning devices. The storage is configured to: store information of operating devices and planning devices included in the operation planning system; store a total output required for a plurality of operating devices in a planning period of an operation plan; and store the operation plan including a combination of operating devices operating in the planning period and an output setting value for each of the operating devices in the combination. The plurality of planning devices is configured to: generate the combination satisfying the total output required in the planning period; determine the output setting value for each of the operating devices belonging to the combination; obtain combination data which is data of the combinations generated by the other planning devices; and generate the operation plan based on the combination data.

Abstract: A distributed energy conversion system is described. The illustrative distributed energy conversion system is described to include a first energy conversion entity and a second energy conversion entity being interconnected via an energy exchange network. The system is further disclosed to include an evaluation entity that is able to communicate with the energy conversion entities and create a roadmap for the consumption of energy by the first energy conversion entity and the second energy conversion entity.

Abstract: The community system includes a hydrogen source, a hydrogen storage, an FC power generating facility, a house group that uses hydrogen supplied from at least one of the hydrogen source and the hydrogen storage, and a management system that manages hydrogen in the community system. The management system manages hydrogen possession allocated to each house in the house group.

Abstract: The present invention relates to a foreign substance detection method, and an apparatus and a system therefor. A foreign substance detection method in a wireless power transmitter, according to an embodiment of the present invention, may comprise the steps of: if an object placed in a charging area is detected, searching for a current peak frequency with a maximum quality factor value in an available frequency band; receiving, from a wireless power receiver, a foreign substance detection state packet including a reference peak frequency; determining a foreign substance detection reference frequency on the basis of the reference peak frequency; and determining whether or not a foreign substance is present by comparing the current peak frequency with the foreign substance detection reference frequency. Therefore, the present invention has an advantage of being capable of detecting a foreign substance more effectively and accurately.

Abstract: Power is generated efficiently using fuel. A power generation unit includes a power generation module that generates power using fuel, a supply unit that supplies fuel to the power generation module, a power converter that converts DC power supplied by the power generation module into AC power, and a controller that controls the supply unit and the power converter. The controller controls the supply unit or the power converter so that the output power supplied to a load with fluctuating power consumption becomes greater than the power consumption of the load by a predetermined margin.