A method and apparatus measures flicker while improving the computational performance for measuring flicker severity level. Specifically, an Intelligent Electronic Device employs a method in which a processor summarizes and characterizes a plurality of instantaneous flicker sensation level values as histogram formatted data and selects a specific percentile of the instantaneous flicker sensation level values from the histogram formatted data. The method employed by the device uses the specific percentile to calculate a short-term flicker severity level value.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.

An energy dispatch system, apparatus, and method are disclosed. The energy dispatch system includes a server and multiple site controllers respectively corresponding to multiple users. Each user corresponds to an energy storage device, and each energy storage device has a stage of charge. The server determines a scheduled power consumption target of each scheduling period for each user according to a total support power, multiple power consumption references of the users, and the stages of charge. The server transmits each scheduled power consumption target corresponding to a first scheduling period of the scheduling periods to the corresponding site controller. Each site controller controls the corresponding energy storage device to charge or discharge according to the corresponding actual load and the corresponding state of charge in the first scheduling period so that the power consumption of the corresponding user during the first scheduling period meets the corresponding scheduled power consumption target.

One embodiment provides a system and method for predicting network power usage associated with workloads. During operation, the system configures a simulator to simulate operations of a plurality of network components, which comprises embedding one or more event counters in each simulated network component. A respective event counter is configured to count a number of network-power-related events. The system collects, based on values of the event counters, network-power-related performance data associated with one or more sample workloads applied to the simulator; and trains a machine-learning model with the collected network-power-related performance data and characteristics of the sample workloads as training data 1, thereby facilitating prediction of network-power-related performance associated with a to-be-evaluated workload.

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.

A power grid system and a method of consolidating power injection and consumption in a power grid system. The power grid system comprises a power grid; at least one load connected to the power grid; a first meter configured for metering power imported from the power grid to the load; at least one intermittent power source connected to the power grid, a second meter configured for metering power generated by the intermittent power source; and a consolidation unit configured for associating readings from the first and second meters such that at least a portion of the power generated by the intermittent power source is offsettable with the power imported from the power grid to the load.

An object of the present invention is to improve the accuracy of prediction in a technique for predicting natural energy power generation amount, solar radiation amount or wind speed by using a statistical method based on machine learning. In order to achieve this object, provided is a prediction apparatus (10) including a feature value extraction unit (13) that extracts a feature value being a variation in time series from meteorological data from m (m is 2 or more) hours before a target time to the target time, and an estimation unit (first estimation unit (14)) that estimates a natural energy power generation amount, a solar radiation amount, or a wind speed at the target time based on the feature values over plural days.

A power control method optimized against both a shortfall in supply and an oversupply, comprising acquiring scheduling information of a plurality of power supply lines, the scheduling information including electric power data, status data, and operation data of the power supply lines; inputting the electric power data into a first training model to obtain a recommended schedule of turning on the plurality of power supply lines; modifying the recommended schedule according to the status data and the operation data of each of the plurality of power supply lines to obtain an optimal power supply line; turning on the loads connected to the optimal power supply line. The method recommends power supply lines according to the equipment being used in actuality and historically. A power control system and a power control device, are also provided.

A method for dispatching an operation of a distribution feeder of electrical power into a grid with heterogeneous prosumers, the method comprising the steps of establishing a dispatch plan on a computer by using forecast data of an aggregated consumption and local distributed generation at the grid for a predetermined period, and operating the distribution feeder according to the established dispatch plan during the predetermined period.

A control method for using a battery for energy storage for contract capacity users includes, turning on a demand controller, starting output power calculation and battery power supply control, measuring a power consumption time interval set by a utility company as a cycle time, obtaining a power value that a load can use every minute, measuring and calculating an output power of a utility power output once a minute, and accumulating the output power according to time and comparing it with an accumulative usable contract capacity. When accumulative output power of the utility power output is greater than accumulative usable contract capacity and voltage of the battery is higher than a preset lower limit, start the battery to supply power to the load and when the voltage of the battery is lower than the preset lower limit, the battery will not supply power to the load.