A method is provided for merging different load forecasts for power grid centers. Area load forecasts are accepted from load forecast engines. A relational database saves load forecast engine data. A comprehensive operating plan integrates individual load forecasts into a composite load forecast to present a comprehensive, synchronized and harmonized load forecast.

A plurality of forecast weather groups in a period comprising a plurality of days including a forecast target day for forecasting the electric power demand, and a plurality of actual weather groups in a period in a plurality of days in the past are set as the target period, and the similarity between the forecast weather group and the plurality of actual weather groups is calculated, a trend of a subsequent electric power demand is predicted based on the comparison of the plurality of calculated similarities whereby the electric power demand of a forecast target day is known.

Provided is an electronic device for managing energy with a simplified button operation, and an operating method thereof. The method of operating the electronic device includes displaying a charging time, which is required for charging completion of a charging target load device that a user desires to charge, and a charging demand, which is required for charging, by using a profile related to energy use of the user, receiving, from the user, an increase command, a determination command, or a decrease command, and when a received command is the increase command or the decrease command, performing an increase or a decrease in one of the charging time and the charging demand or the combination of two or more thereof, according to the increase command or the decrease command, based on an increase rate or a decrease rate using a change rate calculated through a change rate calculation model.

A method and system for controlling the transfer of electrical power between a first electrical network and a second electrical network is disclosed. The method includes receiving at the second electrical network pricing information from the first electrical network, the pricing information associated with the supply of electrical power between the first electrical network and the second electrical network and modifying a demand characteristic of the second electrical network based on the pricing information.

A controller for building equipment that operate to produce or consume resources for a building or campus. The controller performs an optimization of an objective function subject to an override constraint to determine values for a plurality of decision variables indicating amounts of resources to be produced or consumed by the building equipment. The override constraint defines one or more of the values for a subset of the plurality of decision variables by specifying an override amount of a first resource of the resources to be produced or consumed by a first subset of the building equipment and the optimization determines a remainder of the values for a remainder of the plurality of decision variables. The controller controls the building equipment to produce or consume the amounts of the resources determined by performing the optimization subject to the override constraint.

Disclosed herein is a method and system for sharing power or energy across various power supply and control modules. More specifically, disclosed herein are systems and methods for distributing energy. As explained herein, the method discloses receiving, at a microgrid, data from a plurality of data sources. The data is then analyzed to forecast power needs associated with the microgrid. Using the data, the microgrid may determine whether and when to share power with the requesting module.

A method, apparatus, system and computer program is provided for controlling an electric power system, including implementation of voltage measurement using paired comparison analysis applied to calculating a shift in average usage per customer from one time period to another time period for a given electrical use population where the pairing process is optimized using a novel technique to improve the accuracy of the measurement.

Provided is a power generation planning apparatus that prevents excess or shortage of required fuel and improves economic efficiency by considering an excess or shortage amount of required fuel caused by an error in forecast such as demand forecast, thermal power output of a thermal power generation plan, fuel trading in a fuel market, and a change in destination of a fuel ship. The power generation planning apparatus includes: a fuel-unconsidered power generation planning unit that constructs an operation plan for output and operation and stop of a power generator according to demand and supply forecast in a power system without considering fuel used in the power generator; a fuel consumption transition calculation unit that calculates transition of fuel consumption based on the operation plan; a market/ship allocation/thermal power output adjustment planning unit that considers economic efficiency to determine, under a constraint that a remaining amount of fuel satisfies a predetermined range based on the calculated fuel consumption, at least one of ship allocation including a route of a fuel ship, a trading amount in a fuel market, a power sales amount in a power market, and an adjustment amount of output of the power generator; and a fuel-considered power generation planning unit that constructs a power generation plan based on an adjustment amount of a fuel consumption amount, which is based on the power sales amount in the power market and the adjustment amount of the output of the power generator, and the transition of fuel consumption obtained by the fuel-unconsidered power generation planning unit.

A method may include obtaining irradiance data at a first time and a second time from sensors, determining whether one or more solar modules of a plurality of networked power plants will be covered by a shadow or shade at a third time based on the irradiance data, and generating, based on the determination, a power output prediction for each power plant of the networked power plants at the third time. The method may further include receiving power delivery profiles for first and second loads, adjusting a power output of one or more power plants of the networked power plants based at least in part on the power output prediction and the power delivery profiles for the first and second loads, and allocating a combined power output of the power plants to the first and second loads based on first and second load reliability thresholds.

A computing system is provided for intelligent monitoring and management of an electrical system. The system receives electrical usage data and electrical production data via a computer network from a plurality of grid agents at a plurality of points across the electrical system; receives a privacy permission from an owner of one of the plurality of grid agents; based on the privacy permission, authorize sharing of a shareable portion of the electrical usage data and/or a shareable portion of the electrical production data and restrict sharing of a restricted portion of the electrical usage data and/or a restricted portion of the electrical production data; and executes a prediction model which processes patterns observed in the shareable portion of the electrical usage data and the shareable portion of the electrical production data, and predicts a forecasted aspect of the electrical system; and outputs the forecasted aspect of the electrical system.