Electricity load forecasting is an important part of power system dispatching. Accurately
forecasting electricity load have great impact on a number of departments in power systems …

Electrical load forecasting provides knowledge about future consumption and generation of
electricity. There is a high level of fluctuation behavior between energy generation and …

Behind the meter (BTM) distributed energy resources (DERs), such as photovoltaic (PV)
systems, battery energy storage systems (BESSs), and electric vehicle (EV) charging …

The advanced AI and Machine Learning prediction methods may help the power system
operators in effective management power grid. This improvement in accuracy of predicted …

Emerging Energy Load Forecasting (ELF) methodologies assist Distribution System
Operators (DSOs) and Aggregators. Energy imbalance among consumption and generation …

Distribution System Operators and Aggregators can derive benefits from innovative
approaches in Power or Energy Load Forecasting (PLF-ELF). Enhanced accuracy in PLF …

Wind power generation has had a profound impact on both the green power and traditional
power sectors. As a result, wind power forecasting plays an immense role in effectively …

This study presents short-term electricity load forecasting for the New England area by
processing initial data through correlation assessment and data clustering. This method is …

Short-term load forecasting (STLF) poses challenges for utility grid systems (UGS) due to
unpredictable factors, hindering accurate electricity demand predictions. Despite difficulties …

In order to manage and maintain the power supply in distribution grids. The decision makers
in the power grids must predict/forecast the energy demand with the least possibility of error …