Application of Artificial Intelligence Algorithms in Multilayer Perceptron and Elman Networks to Predict Photovoltaic Power Plant Generation

Application of Artificial Intelligence Algorithms in Multilayer Perceptron and Elman Networks to Predict Photovoltaic Power Plant Generation

This paper presents the models developed for the short-term forecasting of energy production by photovoltaic panels. An analysis of a set of weather factors influencing daily energy production is presented. Determining the correlation between the produced direct current (DC) energy and the individua...

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Bibliographic Details
Main Authors: Grzegorz Drałus, Damian Mazur, Jacek Kusznier, Jakub Drałus
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
forecasting of PV power production
weather factors
photovoltaic systems
neural networks
complex system
PV energy management
Online Access:https://www.mdpi.com/1996-1073/16/18/6697

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