A compound of feature selection techniques to improve solar radiation forecasting
Expert Systems with Applications(2021)
摘要
•The most relevant exogenous variables for predicting solar radiation are selected.•Different machine learning models for solar radiation forecasting are evaluated.•The Long Short-Term Memory neural network shows the best forecasting performance.•Multivariate models are compared with their univariate counterparts.•The adoption of exogenous inputs improves solar radiation forecasting performance.
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关键词
Solar radiation forecast,Photovoltaic system,Renewable energy,ANN,LSTM,1D-CNN
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