pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
pv magazine International

Solar forecasting based on all sky imaging, long short-term memory

Researchers from the Netherlands’ Utrecht University and EKO Instruments Europe developed a novel machine learning and all-sky imaging-based short-term solar irradiance forecasting. The model is based ...
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New Jersey, Pennsylvania retool power load forecasting oversight

(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 ...
T&D

Advancing Long-Term Forecasting for Tomorrow’s Grid

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 ...