Forecasting of Photovoltaic Power by Means of Non-Linear Auto-Regressive Exogenous Artificial Neural Network and Time Series Analysis

Forecasting of Photovoltaic Power by Means of Non-Linear Auto-Regressive Exogenous Artificial Neural Network and Time Series Analysis

In this research paper, a nonlinear autoregressive with exogenous input (NARX) model of the nonlinear system based on neural network and time series analysis is proposed to deal with the one-month forecast of the produced power from photovoltaic modules (PVM). The PVM is a monocrystalline cell with...

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Bibliographic Details
Main Authors: Mohamed Louzazni, Heba Mosalam, Daniel Tudor Cotfas
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Electronics
Subjects:
neural network
forecasting
photovoltaic modules
NARX model
optimization
Online Access:https://www.mdpi.com/2079-9292/10/16/1953

Internet

https://www.mdpi.com/2079-9292/10/16/1953

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