HIGHLIGHTS
- who: Carlos Andrade and collaborators from the Computing Institute, ACSimu00f5es Campus, Federal University of Alagoas-UFAL, Maceiu00f3, Brazil have published the research work: How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case, in the Journal: Sensors 2023, 23, 1357. of /2023/
- what: The authors seek to evaluate the use of neural networks MLPs (Multilayer Perceptron) Recurrent Neural Networks (RNNs) and LSTMs for the forecast of 5 min of photovoltaic energy production. Given the importance of predictive models of photovoltaic power generation, this work aims to answer the following question:. 3 of . . .
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