Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions

Narjes Fallah; Ravinesh C. Deo; Mohammad Shojafar; Mauro Conti; Shahaboddin Shamshirband

Năm xuất bản2018

Nguồn học thuậtEnergies

Định danhDOI 10.3390/en11030596

TRÍCH DẪN ĐỀ XUẤTAPA 7

Narjes Fallah; Ravinesh C. Deo; Mohammad Shojafar; Mauro Conti; Shahaboddin Shamshirband (2018). Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions. Energies, 11(3), 596. https://doi.org/10.3390/en11030596

Thông tin thư mục

Nguồn/Tạp chí: Energies
Tập: 11
Số: 3
Trang: 596
Nhà xuất bản: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/en11030596 ↗

Từ khóa

Smart grid; Energy management system; Energy management; Computer science; Energy market; Industrial engineering; Demand response; Grid; Energy (signal processing); Operations research; Artificial intelligence; Renewable energy; Engineering; Electricity