To operate electrical devices, power consumptions of all the electrical devices are continually captured and assigned to the individual electrical devices and at least one desired result is achieved by virtue of at least a first control instance of the electrical devices, the operation of which helps to achieve a desired result, and a second control instance of the electrical devices, the operation of which likewise helps to achieve the desired result. The devices are operated in a coordinated fashion. To this end, measured values from multiple measured value transmitters are captured by operating the multiple electrical devices. Correlations between changes in the measured values of the individual measured value transmitters over time and changes in the power consumptions of the individual electrical devices over time are determined and the desired result is selected from a subgroup of results.

The present invention provides a processing apparatus (10) including: an acquiring unit (11) which acquires an adjustment request specifying a control time period and a control amount for controlling power demand; a determining unit (12) which, on the basis of the adjustment request, determines a first consumer whose power demand is to be controlled, and a control amount of the first consumer and a time period during which power demand of the first consumer is controlled; and an inference unit (13) which infers whether, if power demand of the first consumer were controlled in accordance with a determination result made by the determining unit (12), power demand of the first consumer before and/or after control would change from power demand of the first consumer if the power demand were not controlled.

Systems and methods for controlled IP access using a distributed ledger are disclosed. An example system may include a controller configured to: access a distributed ledger including intellectual property (IP) data about IP assets, where the IP assets include an aggregate stack of IP; tokenize the IP data; and interpret a distributed ledger operation corresponding to one of the IP assets. The controller may also be configured to: determine an analytic result value in response to the distributed ledger operation and the tokenized IP data, where the analytic result value includes statistical information corresponding to access events for an IP asset or distribution of IP assets according to access event rates; and to provide a report of the analytic result value; and record a transaction on the distributed ledger in response to providing the report.

An embodiment of the invention includes a computer-readable medium storing instructions that, when executed by at least one computer, cause the at least computer to carry out a method for estimating a time-varying energy balance of a power system. A mission plan for a mission is received. The mission plan includes at least one activity and at least one route. Each route of the at least one route includes at least one time and at least one location. A plurality of power load identifications is received for at least one time-varying power load for use in the mission plan. A time-varying power requirement to complete the mission plan is determined. A baseline plurality of energy storage devices required to satisfy the time-varying power requirement is determined by the energy analysis code. The baseline plurality of energy storage devices includes a baseline number and type of energy storage devices.

A building automation system that is comprised of a plurality of network connected electrical modules contained in standard receptacle gang boxes for outlets and switches is described. The system includes an AC to DC power supply, a bidirectional solid stale dimmer switch, a microprocessor, and, interconnected sensors that are powered and controlled by microprocessors within the electrical modules. The electrical modules include a user interface for programming and control. The system provides enhanced safety and security, power metering, power control, and home diagnostics. The apparatus replaces existing outlet receptacles and switches with a familiar flush but elegantly updated and seamlessly integrated faceplate.

A hybrid machine-learning and simulation-based system provides forecasting for an energy system. The system predicts day-ahead and real-time supply and demand, and prices of energy, and generates inputs to an optimization algorithm performed by an Independent System Operator (ISO) that affects behavior of electricity generators and electricity consumers to improve the economic efficiency of electricity grids, and reduce harmful emissions.

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.

A system for managing electrical loads includes a plurality of branch circuits, a sensor system, and control circuitry. The sensor system is configured to measure one or more electrical parameters corresponding to the plurality of branch circuits, and transmit one or more signals to the control circuitry. The control circuitry is configured to determine respective electrical load information in each branch circuit based on the sensor system, and control the electrical load in each branch circuit using controllable elements based on the respective electrical load information. The control circuitry transmits usage information, generates displays indicative of usage information, accesses stored or referencing information to forecast electrical load, and manages electrical load in response to identified events. The control circuitry can associate each branch circuit with reference load information, and disaggregate loads on each branch circuit based on the reference load information and on the electrical load in the branch circuit.

A method of operating a plurality of power sources is provided. The method includes operating a first power source at a first power output and operating a second power source at a second power output. The second power source has a second operational capacity greater than the first operational capacity. First transient zone parameters are determined to operate in a first transient output power range. The first transient zone parameters include a first planned power output and a second planned power output constrained to be less than the first operational capacity.

A building system for training a prediction model with augmented training data. The building system comprising one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to obtain a first training data set comprising data values associated with a data point of the building system and with a plurality of time-steps and energy values associated with consumption of the building system at each of the plurality of time-steps; generate an augmented training data set comprising a second training data set, the second training data set comprising the energy values and the data values of the first training data set but with a data value replaced with a predetermined value at a time-step of the plurality of time-steps; and generate a prediction model by training the prediction model.