PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production

标题
PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production
作者
关键词
Photovoltaic energy, Deep learning, Short-term forecasting, Convolution gated recurrent units, Residual learning
出版物
Journal of Cleaner Production
Volume 303, Issue -, Pages 127037
出版商
Elsevier BV
发表日期
2021-04-14
DOI
10.1016/j.jclepro.2021.127037

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