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How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case

The use of models capable of forecasting the production of photovoltaic (PV) energy is essential to guarantee the best possible integration of this energy source into traditional distribution grids. Long Short-Term Memory networks (LSTMs) are commonly used for this purpose, but their use may not be...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Carlos Henrique Torres de Andrade, Gustavo Costa Gomes de Melo, Tiago Figueiredo Vieira, Ícaro Bezzera Queiroz de Araújo, Allan de Medeiros Martins, Igor Cavalcante Torres, Davi Bibiano Brito, Alana Kelly Xavier Santos
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2023-01-01
Rangatū:Sensors
Ngā marau:
photovoltaic solar energy
short term energy forecast
multilayer perceptron
recurrent neural network
long short-term memory
Urunga tuihono:https://www.mdpi.com/1424-8220/23/3/1357
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