A system and method for creating and making use of customer profiles, including energy consumption patterns. Devices within a service point, using the active load director, may be subject to control events, often based on customer preferences. These control events cause the service point to use less power. Data associated with these control events, as well as related environment data, are used to create an energy consumption profile for each service point. This can be used by the utility to determine which service points are the best targets for energy consumption. In addition, an intelligent load rotation algorithm determines how to prevent the same service points from being picked first each time the utility wants to conserve power.

A method and system of controlling the time dependent transfer of electrical power between a first electrical network and a second electrical network is disclosed. The first electrical network is operable to provide instantaneous electrical power to the second electrical network located at a location, the second electrical network includes electrical generating capacity at the location based on stored energy accessible at the location. The method and system involves receiving at the second electrical network pricing information from the first electrical network, the pricing information associated with the future supply of electrical power by the first electrical network to the second electrical network and then modifying substantially in real time the transfer of electrical power between the first and second electrical networks in accordance with the pricing information and the electricity demand characteristics of the location.

A load monitoring system for a facility includes a computer system configured to execute a model of the object, the model configured to estimate a state of the object as a function of measured values of at least one characteristic of the object, receive at least one measured value of the at least one characteristic of the object, and execute, by the computer system, the model to compute an estimated state of the object.

An embodiment of the invention includes a non-transitory computer-readable medium storing instructions that, when executed by a computer, cause the computer to carry out a method for scheduling at least one activity to achieve 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 plurality of energy storage device identifications is received for at least one energy storage device. Based on the plurality of power load identifications, a power requirement required to complete the mission plan is determined using the at least one power load. Based at least in part on the mission plan and the plurality of energy storage device identifications, an available power for the mission is determined. The at least one activity along the at least one route is scheduled based on the power requirement and the available energy.

Apparatus for use in a microgrid, which comprises a DC bus with at least one DC power source connected thereto, an AC bus connected to a mains power grid that supplies the microgrid, and a DC/AC converter coupling the DC bus and the AC bus, wherein the DC/AC converter may be a one-way DC/AC inverter or a bidirectional DC/AC converter, the apparatus comprising a control system, which is configured to control number (at least one) DC power converters, each of which is configured to couple a respective controllable DC load to the DC bus, and to control the power flowing from the DC bus to each of the number controllable DC loads, so as to control each of the number controllable DC loads to fulfil its function and the voltage on the DC bus.

A method of predicting the intensity of sun light irradiating the ground. At least two input images are provided of a time series of images captured from the sky; a plurality of image features are extracted from the at least two input images; a set of meta data associated with the at least two input images are determined; the image features and the meta data are supplied as input data to a neural network; and neural network operations predict the future intensity of the sun light as a function of the input data. Further, a data processing unit and a computer program for controlling or carrying out the described method are described, as well as an electric power system with such a data processing unit.

A switching system includes a transformer and a switching assembly for controlling conduction of current from a power source to a first load along a power cable. The switching assembly includes a switch cell conductively coupled to the power cable. The transformer has a primary winding and a secondary winding. The secondary winding is conductively coupled to the switch cell. The primary winding is conductively coupled to a switch controller via the power cable. The transformer is configured to receive an activation control signal from the switch controller at the primary winding via the power cable and convey the activation control signal to the switch cell via the secondary winding. The switch cell is configured to activate and conduct the current from the power source to the first load along the power cable responsive to receiving the activation control signal from the switch controller.

A supply and demand adjustment monitoring device of a power grid includes an output actual power value database that stores an output actual power value of at least one generator, an output power command value database that stores an output power command value issued to the generator, a planned adjustment capacity value database that stores a planned adjustment capacity value for the generator, and an adjustment capacity evaluation unit that evaluates an adjustment capacity based on the output actual power value, the output power command value, and the planned adjustment capacity value.

An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (ELDR) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

In a method and system, voltage and/or current signals on an electrical/power system is monitored. A power event is identified from the monitored voltage and/or current signals. In response to event identification, waveforms of the monitored voltage and/or current signals are captured. Energy-related signals are calculated and extracted from pre-event measurements, event measurements and post-event measurements using the captured waveforms. Additional information associated with the event is identified and calculated by comparing (a) the calculated and used energy-related signals from pre-event measurements, with (b) the calculated and used energy-related signals from post-event measurements.