Hour-Ahead Photovoltaic Power Prediction Combining BiLSTM and Bayesian Optimization Algorithm, with Bootstrap Resampling for Interval Predictions

Photovoltaic (PV) power prediction plays a critical role amid the accelerating adoption of renewable energy sources. This paper introduces a bidirectional long short-term memory (BiLSTM) deep learning (DL) model designed for forecasting photovoltaic power one hour ahead. The dataset under examinatio...

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Detalhes bibliográficos

Principais autores:	Reinier Herrera-Casanova, Arturo Conde, Carlos Santos-Pérez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-01-01
coleção:	Sensors
Assuntos:	photovoltaic power forecasting bidirectional long short-term memory (BiLSTM) predictions intervals Bayesian optimization
Acesso em linha:	https://www.mdpi.com/1424-8220/24/3/882
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