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

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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Bibliographic Details
Main Authors: Reinier Herrera-Casanova, Arturo Conde, Carlos Santos-Pérez
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
photovoltaic power forecasting
bidirectional long short-term memory (BiLSTM)
predictions intervals
Bayesian optimization
Online Access:https://www.mdpi.com/1424-8220/24/3/882

Internet

https://www.mdpi.com/1424-8220/24/3/882

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