The Energy Systems Integration Group (ESIG) has released a report examining how utilities and planners forecast long-term electricity demand and distributed energy resources (DERs) in an era of rapid ...
AI represents a huge opportunity for grid operators facing a rapidly changing load landscape, but there is little room for error. Moving away from trusted legacy ...
Traditional long-term forecasting models are no longer sufficient as electrification, DER growth, EV adoption, extreme weather events and new large loads introduce unprecedented complexity. The future ...
Energy Forecasting, Electricity, Renewable Energy, Energy Planning, Demand Smoothing Share and Cite: Mishra, S. , Sharma, M. and Avittathur, B. (2026) Mid-Term Forecasting of Electricity Demand with ...
Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
The Federal Energy Regulatory Commission (FERC) on Sept. 18 advanced four reliability measures for the U.S. bulk power system (BPS), formalizing frameworks around supply chain risk, cloud computing ...
(The Center Square) – As electricity demand rises amid concerns about future supply, officials are pushing to modernize the region’s energy mix as reliability and affordability hang on the line. New ...
A research group led by Spain’s Valencia Polytechnic University has developed a novel single-parameter power forecasting method for residential PV installations. The proposed approach defines interval ...
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