A microgrid network consisting of integrated solar panels. (IMAGE)

Chung Ang University

A microgrid network consisting of integrated solar panels.

Caption

Researchers from Chung-Ang University in Korea have proposed a novel deep learning-based forecasting model for optimal microgrid energy management. It employs a long short-term memory network and incentive-based demand response program to predict uncertainties in renewable energy sources implemented in microgrids, their energy demand, and market prices.

Credit

Idaho National Laboratory from Flickr (https://www.flickr.com/photos/30369883@N03/33439203925)

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License

CC BY

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