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Scientists in South Korea have developed a forecasting model to better manage electric grids with high penetration of intermittent renewables. The model was tested using historic data from Pennsylvania-New Jersey-Maryland (PJM) grid in the United States, and shown to accurately forecast the availability of renewable energy resources up to one day in advance. ....
Chung-Ang University Researchers Use Deep Learning to Develop a Forecasting Model for Efficiently Managing Electric Grids streetinsider.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from streetinsider.com Daily Mail and Mail on Sunday newspapers.
The increasing emphasis on green energy has led to the development of renewable energy sources (RESs). RESs are integrated into power supply systems via microgrids (MGs) whose efficient and profitable operation requires handling uncertainties associated with RESs, energy demand, and market prices. To this end, researchers have recently developed a novel deep learning-based forecasting model.… ....