reviewTop 1% cited
A review of deep learning for renewable energy forecasting
Energy Conversion and Management · 2019 · Vol. 198 · pp. 111799–111799
Huaizhi Wang(Shenzhen University)Zhenxing Lei(Shenzhen University)Xian Zhang✉(Hong Kong Polytechnic University)Bin Zhou(Hunan University)Jianchun Peng(Shenzhen University)
Energy Load and Power ForecastingSolar Radiation and PhotovoltaicsElectric Power System OptimizationDeep learningArtificial intelligenceComputer scienceRenewable energyMachine learningArtificial neural networkProbabilistic logicData pre-processingDeep belief networkEngineering
Citations
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FWCI
55.14
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References
172
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IEEE Transactions on Neural Networks · 2010 · 721 citations
A Fast Learning Algorithm for Deep Belief Nets
Neural Computation · 2006 · 16,253 citations
Deep learning based ensemble approach for probabilistic wind power forecasting
Applied Energy · 2016 · 730 citations
Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN
IEEE Transactions on Smart Grid · 2017 · 1,063 citations
Forecasting of photovoltaic power generation and model optimization: A review
Renewable and Sustainable Energy Reviews · 2017 · 1,133 citations
Solar photovoltaic generation forecasting methods: A review
Energy Conversion and Management · 2017 · 919 citations
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