Solar Irradiance Forecasting to Short-Term PV Power: Accuracy Comparison of ANN and LSTM Models

The use of renewable energies, such as Photovoltaic (PV) solar power, is necessary to meet the growing energy consumption. PV solar power generation has intrinsic characteristics related to the climatic variables that cause intermittence during the generation process, promoting instabilities and ins...

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Bibliographic Details
Main Authors:	Junior, O.H.A (Author), Ledesma, J.J.G (Author), Maciel, J.N (Author), Wentz, V.H (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Accuracy comparisons artificial neural networks deep learning Deep learning Deep neural networks Energy utilization Forecasting Input variables Long short-term memory long-term short memory machine learning Memory modeling Meteorological input Photovoltaic power Prediction accuracy Prediction horizon Solar cells Solar energy solar irradiance forecasting Solar irradiance forecasting Solar irradiances Solar power generation Solar radiation
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Solar Irradiance Forecasting to Short-Term PV Power: Accuracy Comparison of ANN and LSTM Models

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