Accurate photovoltaic power forecasting models using deep LSTM-RNN
Accurate photovoltaic power forecasting models using deep LSTM-RNN
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London: Springer London
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English
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London: Springer London
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Contents
Photovoltaic (PV) is one of the most promising renewable energy sources. To ensure secure operation and economic integration of PV in smart grids, accurate forecasting of PV power is an important issue. In this paper, we propose the use of long short-term memory recurrent neural network (LSTM-RNN) to accurately forecast the output power of PV syste...
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Accurate photovoltaic power forecasting models using deep LSTM-RNN
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TN_cdi_proquest_journals_2267639697
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2267639697
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-017-3225-z
