Abstract: A method includes providing a net consumption trajectory comprising net consumption targets for one or more subperiods of a time period. Each net consumption target indicates a target difference from a beginning of a time period to an end of the subperiod between total consumption and total production or offset. The method also includes generating, for a subperiod of the plurality of subperiods, a set of curtailment actions predicted to achieve the net consumption target for the subperiod and implementing the set of curtailment actions.

Abstract: Certain aspects of the present disclosure relate to virtualizing battery resources for grid service applications. In particular, some of these aspects provide a method for configuring a plurality of virtual energy storage devices in an energy storage device of a fixed energy storage system; and performing two or more grid services concurrently with two or more virtual energy storage devices of the plurality of virtual energy storage devices.

Abstract: Systems, methods, and related technologies for classification are described. In certain aspects, a plurality of device classification methods with associated models are accessed. Each of the classification methods have an associated reliability level. The models of classification methods with a higher reliability level than other classifications methods are used to at least one of train or tune the models associated with lower reliability level.

Abstract: Apparatus and methods are provided for improving thermal control, including collecting data of a plurality of systems, each of the plurality of systems including at least one first cooling element and at least one first heat-generating element; conducting a first simulation using a simulation model based on the collected data to generate a first set of simulation results; conducting a first training on a control system using the first set of simulation results to obtain a first trained control system; and using the first trained control system to monitor a field system with a space having at least one second cooling element and at least one second heat-generating element and to control the at least one second cooling element and the at least one second heat-generating element.

Abstract: Systems, methods, and devices for providing a comfort dashboard are described herein. One method includes receiving operational data associated with an HVAC system of a facility, receiving credentials associated with a user of a user device including a number of display elements configurable by the user, and determining a particular portion of the operational data to provide to the user via the display elements of the user device based, at least in part, on the credentials.

Abstract: A system includes a first subsystem configured to produce a resource by consuming electricity, a second subsystem configured to produce the resource by consuming a fuel, and a controller. The controller is configured to determine an allocation of a predicted demand for the resource over a future time period between the first subsystem and the second subsystem based on a first carbon emissions rate associated with off-site production of the electricity and a second carbon emissions rate associated with on-site consumption of the fuel. The controller is also configured to control the first subsystem and the second subsystem to produce the resource in accordance with the allocation during the future time period.

Abstract: A method for managing an energy system having one or more renewable energy sources, one or more energy storage devices, one or more loads, and a grid connection for connecting at least temporarily to an external energy distribution grid is disclosed. The method generates a prediction of energy demand of the loads using historical energy demand data, and a prediction of renewable energy availability from the renewable energy sources using weather forecast data. An amount of energy to be obtained from the distribution grid is determined in dependence on the prediction of renewable energy availability and the prediction of energy demand. An energy conservation strategy is generated using the predictions and determined energy amount, and energy supplied to one or more of the energy storage devices and/or one or more of the loads is adjusted automatically according to the energy conservation strategy.

Abstract: A central plant includes a plurality of subplants and circuitry. The circuitry is configured to obtain an expert model associated with a first subplant of the plurality of subplants. The expert model includes a map of values of independent variables to one or more dependent variables. The circuitry is also configured to receive input data indicating input values for the independent variables and estimate outputs values for the one or more dependent variables associated with the input variables by determining a spatial relationship between the input data and the expert model, reducing the expert model to a reduced model based on the spatial relationship, and performing an interpolation using the reduced model to generate the output values for the one or more dependent variables. The circuitry is also configured to initiate an automated action using the output values.

Abstract: A method for controlling an electrical distribution grid, comprising the following steps: determining at least one variable which describes a state of the electrical distribution grid; combining a plurality of electrical installations, in particular a plurality of regenerative generating units, of the electrical distribution grid to form a virtual power plant, in particular taking into consideration the variable; establishing a control area within the electrical distribution grid for the virtual power plant; establishing a control unit of an electrical installation of the virtual power plant as main control unit; controlling the control area using the main control unit of the virtual power plant.

Abstract: A power management system includes a CEMS server that outputs a DR request to a plurality of power adjustment resources such that balancing is achieved every prescribed time period. The plurality of power adjustment resources include: a power-storage-type DER that stores the supply power in an energy form of at least one of electricity, heat and gas fuel; and a consumption-type DER that consumes the supply power by at least one of air conditioning and lighting. In a case where it is expected in the middle of the prescribed time period that the actual amount of power exceeds the planned amount of power at the end of the prescribed time period, the CEMS server outputs, to the power-storage-type DER more preferentially than to the consumption-type DER, the DR request for decreasing the actual amount of power in comparison with before expectation.

Abstract: Described are systems and methods directed to determining a topology for the efficient allocation and distribution of a service to customers that are distributed over a geographic area. For example, the topology can facilitate the planning, scheduling, and allocation of resources for the efficient provisioning of services to customers at locations distributed over the geographic area. Certain input parameters and/or constraints associated with the provisioning of the service may be processed to define a cost function that may represent a total cost of providing the service while ensuring that none of the constraints are exceeded. The cost function may be optimized to determine a lowest relative cost for providing the services to the customers using the various mechanisms and/or types of resources, and a topology associated with the optimized cost function can be generated to specify how the service should be provided to satisfy the demand.

Abstract: The present disclosure is directed to energy management equipment configured to manage energy efficiently in a grid in a simple, economic, maintenance-free manner that can be easily used in residential and industrial applications. In addition, an energy system is proposed in a grid for home or industrial use that comprises a source of energy consumption, a main energy grid, an intermittent energy source, a secondary source of energy generation and an energy storage device. Finally, a method is proposed to manage energy by means of an optimization model that is executed in the equipment and energy management system of the present disclosure.

Abstract: A computer-implemented method is provided for performing energy disaggregation of a distribution system-level net-load measurements using continuous-point-on-wave (CPOW) measurement units.

Abstract: A method of adaptive persistence forecasting includes receiving historical load values for a site with at least one component that consumes energy; receiving historical temperature values corresponding to dates of the historical load values; evaluating the historical load values and the historical temperature values to determine a correlation coefficient; determining that there exists at least a threshold correlation between a load activity and temperature for the historical load values and the historical temperature values based on the correlation coefficient; in response to determining that there exists at least the threshold correlation, normalizing the historical load values based on a set temperature; and applying an adaptive seasonal persistence model to the normalized historical load values to output a forecast for use in controlling energy resources at the site.

Abstract: Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

Abstract: A system and method for determining a local CVR factor using grid edge devices (GEDs) comprises: receiving, from each of the GEDs, respective voltage change values and power change values; identifying, using the processor, voltage events within at least one control zone, each of the GEDs being associated with a zone of the at least one control zone, the voltage events being identified based on the GEDs in the groups meeting one or more event parameters; identifying a plurality of CVR values for each GED, each CVR value being based on one of the voltage change values and one of the power change values associated with each identified voltage event; generating, using the processor and based on the plurality of CVR values, a local CVR factor for each GED; and, controlling one or more devices based on the local CVR factor.

Abstract: Systems and methods for load distribution, where a method can include: establishing an interface with a controlling architecture of an electric power distribution system, the electric power distribution system in communication with a set of outlets of utility-facing devices providing access to the electric power distribution system; returning a demand assessment from a demand model characterizing anticipated demand upon the one or more portions of the electric power distribution associated with the set of outlets, the set of outlets positioned at a set of sites; and executing an action for adjustment of load distribution throughout the set of sites, through the controlling architecture, based upon the demand assessment. The inventions can be used to achieve carbon emission goals by incentivizing better use of limited energy resources.

Abstract: A production allocation determining apparatus is configured to calculate a total supply function model representing a relationship between a total supply quantity and a marginal cost; calculate, based on current supply quantities, change rate constraints, and on capacity upper and lower limits, supply quantity upper and lower limits of the respective producers at a time s; calculate an optimum price based on the total supply function model, a predicted value of a demanded quantity at the time s, and on the supply quantity upper and lower limits; and calculate, based on the supply quantity upper and lower limits, the supply function models, and on the optimum price, optimum supply quantities. Calculation of the supply quantity upper and lower limits, calculation of the optimum price, and calculation of the optimum supply quantities are repeatedly executed from the time s=T to the time s=1.

Abstract: A system operator side computer includes: a supply amount acquirer configured to acquire a maximum suppliable power amount from a power generation operator at a predetermined time later; a demand specifier configured to specify a power demand at the predetermined time later; and a shortage amount calculator configured to calculate a power shortage amount based on the power demand and the maximum suppliable power amount.

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: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning (ML) to forecast energy demand and to generate an energy plan for one or more facilities of an organization. For example, a system may forecast an occupancy of the facilities for use with historical demand data in forecasting the energy demand. The forecasting may be performed by one or more trained ML models. Additional ML models may be trained to select energy resources that satisfy the forecasted energy demand and that prioritize constraint(s). The system may generate an energy plan that indicates information related to the selected energy resources, such as cost, energy type, environmental impact, etc., for use in increasing an amount of renewable energy resources used at the facilities. In some implementations, the system may recommend actions to reduce a negative environmental impact associated with the selected energy resources.

Abstract: The method may comprise receiving historical data (e.g., mineralogy data, irrigation data, raffinate data, heat data, lift height data, geographic data on ore placement and/or blower data); training a predictive model using the historical data to create a trained predictive model; adding future assumption data to the trained predictive model; running the forecast engine for a plurality of parameters to obtain forecast data for a mining production target; comparing the forecast data for the mining production target to the actual data for the mining production target; determining deviations between the forecast data and the actual data, based on the comparing; and changing each of the plurality of parameters from the forecast data to the actual data to determine a contribution to the deviations for each of the plurality of parameters.

Abstract: Provided is a capacity design method and apparatus for performing solar power generation of a residential complex that may calculate a capacity of a solar power generator and an energy storage device to achieve energy independence of a residential complex including a plurality of housings and reduce burden affecting a grid.

Abstract: A power management system including a management apparatus configured to assign divided computation processing constituting at least a part of predetermined computation processing to a distributed computing device placed in a facility, wherein the management apparatus includes a receiver configured to receive a message including an information element indicating a type of corresponding computation processing that the distributed computing device is capable of handling, and a controller configured to perform assignment processing to assign the divided computation processing to the distributed computing device based on the type of the corresponding computation processing.

Abstract: A computer executes resource classification and resource selection. In the resource classification, each of a plurality of resources is classified as a first resource or a second resource having lower rated charging power than the first resource. In the resource selection, resources to act as reserves are selected for a reserve request from among the plurality of resources. In the resource selection for a first reserve request, the computer selects resources corresponding to the first resource with priority over resources corresponding to the second resource, and in the resource selection for a second reserve request, the computer selects resources corresponding to the second resource with priority over resources corresponding to the first resource. An adjustment period of the second reserve request is longer than an adjustment period of the first reserve request.

Abstract: Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to identify a set of features associated with at least one of a collection of residences or an energy billing period. Measured energy consumption information and a plurality of feature values can be acquired for each residence in the collection of residences. Each feature value in the plurality of feature values can correspond to a respective feature in the set of features. A regression model can be trained based on the measured energy consumption information and the plurality of features values for each residence in the collection of residences. At least one expected consumption value and at least one efficient consumption value can be determined based on the regression model.

Abstract: A resource scheduling method is provided. The energy storage device pool includes at least one energy storage device. One example method includes: receiving a resource scheduling application request, determining a target energy storage device from the energy storage device pool based on the resource scheduling application request, and allocating an electric power resource to a power consumption device by using the target energy storage device.

Abstract: The power control device performs power supply to each of a plurality of loads (231 to 234) by a time-proportional control, where a maximum load factor and a current value or a power value during on-control are made to correspond to each of the plurality of loads.

Abstract: The present invention relates to a method of assessing dynamic flexibility for a virtual power plant, which belongs to the technical field of operating and controlling a power system. The method equals a virtual power plant to an equivalent energy storage device and an equivalent generator and decouples a network constraint condition between the two types of devices through a Robust optimization method. Subsequently, by using a two-stage Robust optimization algorithm, parameters of the equivalent energy storage device and the equivalent generator are calculated and finally accurate depiction is realized on adjusting ability of a distributed resource, so as to provide a scientific decision basis for the virtual power plant to participate in grid control, such that it has a great value in an actual application.

Abstract: Provided are a method and system for managing power grid stability utilising local dynamic load control, the method being performed by a virtual load manager (VLM) comprising one or more processors configured to: configure a plurality of electrical devices connected to a mains supply grid to individually react to grid fluctuations such that the plurality of electrical devices act as one or more virtual load groups each comprising one or more electrical devices with the same response to the grid fluctuations; and manage the individual electrical devices and operating characteristics of the electrical devices in the one or more virtual load groups on behalf of a central grid controller (CGC) of the mains supply grid, wherein each of the electrical devices comprises a local controller configured to provide dynamic control of their respective load in response to fluctuations of the mains supply grid based on the configuration provided by the virtual load manager (VLM).

Abstract: Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

Abstract: Exemplary embodiments of the present invention provide a virtual dispatch assist system in which various types of Intelligent Agents are deployed (e.g., as part of a new CAD system architecture or as add-ons to existing CAD systems) to analyze vast amounts of historic operational data and provide various types of dispatch assist notifications and recommendations that can be used by a dispatcher or by the CAD system itself (e.g., autonomously) to make dispatch decisions.

Abstract: Disclosed is a device for the certified measurement of electric parameters and customers' flexibility behaviour, and for communicating with a distribution system operator, comprises a System on Module, or SoM, a Certification Module, a Customer Communication Module and a Communication Module.

Abstract: A system and method for energy distribution leveraging dynamic feedforward allocation of distributed energy storage using multiple energy distribution pathways to maximize load-balancing to accelerate return on investment, reduce system energy consumption, and maximize utilization of existing energy infrastructure particularly for modular construction.

Abstract: The present disclosure provides systems and methods for serving two or more uncorrelated loads connected to a renewable energy powerplant. The uncorrelated loads comprise a power grid and one or more industrial processes. A system may comprise a renewable energy system (RES), an energy storage system (ESS), and a controller programmed to: discretize an upcoming forecast horizon into a plurality of time periods; calculate one or more metrics for sending energy generated by the first RES to: (1) the ESS, (2) the power grid, and (3) the one or more industrial processes; prioritize the: (1) ESS, (2) power grid, and (3) one or more industrial processes.

Abstract: The present invention discloses a multi-device site selection method for an integrated energy virtual power plant, and belongs to the field of virtual power plants. The multi-device site selection method for an integrated energy virtual power plant includes the following steps: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network; under a condition that capacity of each device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and determining an installation location of each device of the integrated energy virtual power plant in the energy network, and determining an operating state of each device.

Abstract: A method for calculating consumption-based carbon emissions in power grids is disclosed. The method includes receiving, from a first grid monitoring device monitoring a first grid, a plurality of first power output quantities from a plurality of power generators in the first grid; receiving, from a second grid monitoring device monitoring a second grid, a plurality of second power output quantities from a plurality of power generators in the second grid, wherein the first grid is connected to the second grid and can send and/or receive power to and/or from the second grid; computing and solving a linear system of equations based on variables representative of each the first grid and the second grid; and displaying, on a user interface, a consumption-based carbon emissions calculation describing carbon emissions consumed per megawatt-hours (MWh) produced by the first grid and the second grid based on solving the linear system of equations.

Abstract: The present disclosure is directed to systems and methods for controlling an electrical system using setpoints. Some embodiments include control methods that monitor an adjusted net power associated with the electrical system and adjust the setpoint based on a comparison of the adjusted demand to the setpoint. If the adjusted demand has not exceeded the demand setpoint, the setpoint is reduced. If the adjusted demand has exceeded the demand setpoint, the setpoint is increased.

Abstract: A system having a set of power amplifiers each having a primary inductive structure configured to provide an output signal. A secondary inductive structure is configured to inductively couple to each of the primary inductive structures. A transmission line is provided with a signal trace and a ground trace. The signal trace of the transmission line is connected to a first end of the secondary inductive structure. A return path from a second end of the secondary inductive structure is coupled via a resonant network to the ground trace of the transmission line, in which the return path is spaced away from the secondary inductive structure to minimize inductive coupling to the primary structures.

Abstract: Techniques described herein relate to a method for optimizing power for a computer vision environment. The method includes obtaining, by a computer vision (CV) manager, an initial power optimization request associated with a CV workload; in response to obtaining the initial power optimization request: obtaining CV workload information associated with the CV workload; obtaining first CV environment configuration information associated with the power optimization request; generating a power optimization report based on the first CV environment configuration information and the CV workload information using a power optimization model; and initiating performance of the CV workload in a CV environment based on the power optimization report.

Abstract: A controller for equipment that operate to store, discharge, generate, or consume one or more resources is configured to provide an objective function indicating a total value of obtaining a resource from a utility provider over a plurality of time steps subject to a load-following-block rate structure. The objective function includes a first term representing a load-following-block of the resource as being sourced from the utility provider at a fixed rate and a second term representing a remainder of the resource as being sourced from the utility provider at a variable rate. The controller is configured to use the objective function to generate values for decision variables and control the equipment to store, discharge, generate, or consume amounts of the resources indicated by the values of the decision variables at the plurality of time steps.

Abstract: A system for estimating a real-time renewable energy generation quantity according to an embodiment of the present disclosure includes a site setting unit for setting a benchmarking group based on geographical locations of a plurality of renewable energy generation sites and setting a benchmarking site for each benchmarking group, a site generation quantity calculation unit for calculating a real-time generation quantity prediction value of each of sites except the benchmarking site among the sites included in the benchmarking group by using a preset prediction model based on a real-time generation quantity actual-measurement value of the corresponding benchmarking site, and a total generation quantity estimation unit for estimating a total real-time generation quantity of all the sites by summing the calculated real-time generation quantity prediction values for the respective sites and the real-time generation quantity actual-measurement value of the benchmarking site.

Abstract: A method of process control in a PCS. The PCS provides host controllers coupled together, I/O devices, field devices, and processing equipment, configured together to run a process, the plurality of host controllers having stored a single online orchestrator program for coordinating a shared and synchronized database for the host controllers, wherein the online orchestrator program uses and tracks currently available host controllers and selected control programs for controlling the process. The PCS also includes an offline orchestrator. The orchestrator is run on the currently available host controllers that shares and synchronizes the initial shared database version to the currently available host controllers. A selected host controller responsive to an event broadcasts updated shared database version to the currently available host controllers.

Abstract: This invention provides a system and process to optimize photovoltaic (PV), grid, and other electricity in powering an electric water heater. The system comprises a photovoltaic (PV) controller coupled to a plurality of power input sources and heating elements wherein the heating elements immersed in an electric immersion heater water tank. The PV controller is further configured with control circuitry having an operating efficiency routine calculating optimal use cases from a variety of installation parameters and learned parameters to determine the appropriate power input source and switch between sources accordingly.

Abstract: An HVAC system is configured to regulate a temperature of a space. The HVAC system includes a single-stage compressor configured to compress a refrigerant used to cool air provided to the space and a controller communicatively coupled to the single-stage compressor. The controller determines that a demand response time period is starting at a start time. After determining that the demand response time period is starting at the start time, an operation schedule is determined indicating alternating portions of the demand response period during which the single-stage compressor is to be turned off and turned on. At or after the start time of the demand response time period, the controller begins operating the single-stage compressor according to the determined operation schedule.

Abstract: Methods, systems, and machine-readable mediums to predict signal conductor traffic and to transition between signal conductor states in accordance with the predictions. In at least one embodiment, a scoring system is used to select a prediction method, which is used to determine when to transition a signal conductor between active and inactive states.

Abstract: The enclosed is a description of a computer-implemented method for aggregation of carbon emission data. A server receives data entries recording user actions from an application of a client device. The server assigns each data entry to one or more communities of the application. The user actions recorded are converted by the server to carbon emission equivalents. The carbon emission equivalents of a community to which a particular user belongs are aggregated for the particular user. The server establishes a data stream with the client device of the particular user and transmits the carbon emission equivalents of the community and a totality of carbon emission equivalents of the application to the client device. The carbon emission equivalents of the community and the totality of carbon emission equivalents, including communities the user is excluded from, are displayed on the client device on a master dashboard of the application.

Abstract: A management apparatus (50) configured to manage one storage battery apparatus or a plurality of storage battery apparatuses (301 to 30c) includes: a manager (51) configured to manage a dischargeable amount of electrical power having an environmental added value stored in the storage battery apparatuses (301 to 30c); a determiner (54) configured to determine which of the dischargeable electrical power in the storage battery apparatuses (301 to 30c), the electrical power having the environmental added value or electrical power not having the environmental added value, is to be discharged for each electrical-power consuming facility (201 to 20b); and a transmitter (52) configured to transmit, to the storage battery apparatuses (301 to 30c), a message giving an instruction to discharge the determined electrical power to the electrical-power consuming facility (201 to 20b).

Abstract: A secondary battery diagnosing technology capable of effectively diagnosing a state of a secondary battery using a charge and discharge signal of the secondary battery, including a memory unit configured to store a positive electrode reference profile and a negative electrode reference profile for charge or discharge of a reference battery, a voltage measuring unit configured to measure a voltage of a target battery during a charge or discharge process, and a processor configured to generate a charge and discharge measurement profile based on the voltage, compare a simulation profile obtained from the positive electrode reference profile and the negative electrode reference profile with the generated charge and discharge measurement profile, and determine a positive electrode adjustment profile and a negative electrode adjustment profile so that an error between the simulation profile and the charge and discharge measurement profile is within a predetermined level.

Abstract: An engine system of an aircraft includes an energy storage system, a gas turbine engine, and a controller. The gas turbine engine includes a low spool, a high spool, a low-spool generator operably coupled to the low spool, and a high-spool electric motor operably coupled to the high spool. The controller is configured to detect a braking condition of the aircraft, transfer power from the low-spool generator to the energy storage system based on the storage capacity state of the energy storage system, and transfer power to the high spool through the high-spool electric motor to support combustion in the gas turbine engine while a rotational speed of the low spool is reduced responsive to the low-spool generator extracting energy from the low spool.