Patent classifications
H02J3/003
Information processing apparatus, information processing method, storage medium, portable electric generator, and rental system
An information processing apparatus comprises an acquisition unit configured to acquire information according to the usage circumstances of the portable electric generator; an estimation unit configured to estimate a type of an electrical device that is connected, based on a measurement result with respect to a voltage and a current when the portable electric generator supplied electric power that is included in the information according to the usage circumstances; and a calculation unit configured to calculate a rental fee associated with an electric power amount supplied by the portable electric generator at the rental destination, using a billing coefficient corresponding to an electrical device estimated by the estimation unit, and the measurement result.
HYBRID POWER PLANT
A hybrid power plant including a plurality of power sources and controllers, a hybrid plant controller, and a computing system. The controllers operate the power sources according to operating set points. The hybrid plant controller transmits the operating set points to the controllers. The computing system is coupled to the hybrid plant controller and receives a first set of input parameters from a first subscriber, and carries out a first level of services to which the first subscriber subscribes to determine operating parameters for the first subscriber. The computing system receives a second set of input parameters from a second subscriber and carries out a second level of services to which the second subscriber subscribes to determine operating parameters for the second subscriber. The computing system then computes the operating set points based on aggregate operating parameters for the first and second subscribers.
Control apparatus, control method, and power storage control apparatus
[Object] To provide a control apparatus capable of optimum power interchange in the whole of a community including a plurality of customers. [Solution] There is provided a control apparatus including: an acquisition section configured to acquire information regarding consumption of power from a plurality of nodes that store and consume power; and a control section configured to use the information regarding consumption of power to generate data regarding target power storage in each of the nodes, the data being provided to the node.
BUILDING CONTROL SYSTEM USING REINFORCEMENT LEARNING
A method of operating a building management system is disclosed. The method includes determining, by a processing circuit, policy rankings for a plurality of control policies based on building operation data of a first previous time period, selecting, by the processing circuit, a set of control policies from among the plurality of control policies based on the policy rankings of the set of control policies satisfying a ranking threshold, generating, by the processing circuit, a plurality of prediction models for the set of control policies, selecting, by the processing circuit, a first prediction model of the plurality of prediction models based on building operation data of a second previous time period, and responsive to selecting the first prediction model, operating, by the processing circuit, the building management system using the first prediction model.
System and method of power control for an energy storage charging station
A system includes a control unit having one or more processors and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The one or more processors are configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.
Solar energy metering, communications, and control system
Methods, systems, and computer readable media are disclosed for monitoring photovoltaic solar systems. In some examples, the system includes a solar power measurement input for coupling to a solar panel system, a measurement circuit configured to measure power produced by the solar panel system using the solar power measurement input, and a data transmission system. The measurement circuit is configured, by virtue of the measurement circuit including electrical components rated to at least a certain tolerance level, to take revenue-grade power measurements from the solar power measurement input with a level of accuracy that meets a national or international metering standard. The data transmission system is configured to transmit the revenue-grade power measurements from the measurement circuit to a remote system.
Methods and systems for providing an estimated utility expenditure
A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.
SUPPORTING ELECTRICAL UTILITY PERFORMANCE WITH DISPATCHABLE DISTRIBUTED ENERGY RESOURCES
Distributed energy resources are validated by dispatching a distributed energy resources individually in known ambient conditions and monitoring the particular effect of dispatch to then establish a database of performance for multiple different distributed energy resources. The distributed energy resources can be permanently monitored to further build up this database and to verify that the distributed energy resource 1 s performing consistent with its validation or other expected performance. Distributed energy resources of a slow responding variety and a fast responding variety can be paired together and dispatched together, so that the paired fast responding and slow responding distributed energy resources mimic a large fast responding distributed energy resource. The benefits of a high capacity fast responding distributed energy resource is thus provided, such as for the load shedding and grid support benefits thereof.
SYSTEM AND METHOD FOR MANAGEMENT, FORECATING AND DISAGGREGATION OF POWER CONSUMPTION DATA
System and method of disaggregating power consumption data, the method including receiving power consumption data from at least one power consumption meter, wherein the received power consumption data corresponds to at least one consumer, determining power consumption patterns from the received power consumption data, performing disaggregation of the received power consumption data and identifying at least one base load value for at least one consumer based on the power consumption patterns, grouping consumers into energetically similar groups based on the disaggregation, and providing energy saving recommendations to at least one consumer based on the disaggregation and grouping data.
Method and system for determining energy consumption of a property
In one aspect, there is described a method having: receiving energy consumption data from one or more electricity and/or gas meters associated with a property having one or more devices having larger devices and/or smaller devices; receiving context information data about the property; retrospectively determining, in the received energy consumption data, one or more variations indicative of consumption of the devices; identifying one or more events associated with the devices, based on the determined variations; classifying the identified events into predetermined sub-categories associated with the devices, based on the energy consumption data and the context information data; and associating a proportion of the received energy consumption data to respective predetermined categories associated with the devices, based on the classification in the sub-categories.