A system determines the frequency of grid signals corresponding to an electrical grid in real time. The system includes a transient detector that monitors a grid signal from a voltage meter or a current meter connected to the electrical grid. The system produces, in real time and at a sampling rate, a deviation signal indicative of a periodicity of the monitored grid signal. The system determines, over one or more cycles of the monitored grid signal, a measurement signal corresponding to the deviation signal. The system determines a frequency signal that corresponds a frequency estimation of the monitored signal by applying a frequency estimation when values of the measurement signal are less than a deviation threshold and maintaining the frequency signal at a constant value when values of the measured signal equal or exceeds the deviation threshold.

An energy saving support system according to an embodiment is configured to provide a consumer, who has an electric load to which electric energy is supplied from an electric power supply system within a house, with energy consumption-related information through a photo frame or the like. The information providing apparatus is configured to acquire an acceptability level, which stepwise indicates a degree of interest of the consumer in the energy consumption-related information, and to determine the energy consumption-related information to be newly provided to the consumer based on the acceptability level.

Disclosed by the present disclosure are a blockchain-based energy interaction apparatus, an energy internet system and interaction method, relating to the field of energy information. The energy interaction apparatus comprises an energy information acquisition module and a blockchain node module, wherein the energy information acquisition module is configured to acquire energy information of an energy device; the blockchain node module is configured to write energy information into a blockchain network and acquire energy blocks from the blockchain network for information interaction.

Embodiments of the disclosure provide a method for operating a combined cycle power plant (CCPP). The method may include creating a variant control profile for the CCPP for a power plant model of the CCPP. The method may include modifying the variant control profile in response to the variant control profile not reducing the fuel consumption or meeting the quality threshold. The method may also include adjusting the CCPP to use the variant control profile in response to the variant control profile reducing the fuel consumption and meeting the quality threshold. Using the variant control profile adjusts a turbine section inlet temperature schedule or an exhaust temperature schedule for the CCPP.

Systems and methods for improving load energy forecasting in the presence of distributed energy resources in which a revised load forecast is calculated based on forecasted meteorological conditions data, forecasted wind and solar energy, forecasted load data, time data and time-series variables determined based on an analysis of the historical data. In exemplary embodiments, the revised load forecast is provided to energy management computer systems to enable appropriate levels of generation of conventional and renewable energy generation within the electric power grid.

The present disclosure provides a computer-implemented method for recommending one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes analysis of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes recommendation of one or more control schemes to a plurality of energy consuming devices and a plurality of energy storage and supply means.

This power sale timing optimum control system is provided with a communication unit, a demand prediction unit, a supply prediction unit, and a timing determination unit. The communication unit acquires the amount of power stored in each of multiple power storage devices. The demand prediction unit predicts a total amount of demand on power in a utility customer group. On the basis of the acquired amount of stored power, the supply prediction unit predicts the total amount of suppliable power that can be supplied in the utility customer group. The timing determination unit determines a power sale timing on the basis of the predicted total amount of demand and the predicted total amount of suppliable power.

A system and method for outage prediction for electrical distribution utilities using high-resolution weather forecasts, geographic data (e.g., land use and vegetation around overhead-lines) and utility infrastructure data (e.g., transformer fuses, etc.) to predict distributed outage occurrences (e.g., number of outages over a 2-km gridded map) in advance of a storm.

A reduction instruction receiver receives a reduction instruction for energy from a server. An energy setter sets, when the reduction instruction receiver receives the reduction instruction, individual target energies for the respective subsystems, the individual target energies each being a target value of a consumption energy for a corresponding subsystem such that (i) a total of individual target energies that are target values of consumption energies for the respective subsystems is smaller than a total target energy that is a target value of a consumption energy of an entirety of the subsystems, and (ii) a higher correlation among consumption energies of the respective subsystems provides an increase in a total margin energy, the total margin energy being a difference between the total target energy and the sum of the individual target energies. The control-instruction transmitter transmits control-instruction information for control of the facility device based on the set individual target energies.

In an example method, first electrical power is generated using one or more solar panels, and a water level rise of a sea is mitigated, at least in part, using a water processing system that is at least partially powered by the first electrical power. Mitigating the water level rise of the sea includes extracting saline water from the sea, desalinating the saline water, directing the desalinated water to one or more turbine generators, generating second electrical power using the one or more turbine generators, and directing the desalinated water from the one or more turbine generators into one or more aquifers. The one or more aquifers are hydraulically isolated from the sea.