Solar Radiation Forecasting by Pearson Correlation Using LSTM Neural Network and ANFIS Method: Application in the West-Central Jordan

Solar Radiation Forecasting by Pearson Correlation Using LSTM Neural Network and ANFIS Method: Application in the West-Central Jordan

Solar energy is one of the most important renewable energies, with many advantages over other sources. Many parameters affect the electricity generation from solar plants. This paper aims to study the influence of these parameters on predicting solar radiation and electric energy produced in the Sal...

Full description

Bibliographic Details
Main Authors: Hossam Fraihat, Amneh A. Almbaideen, Abdullah Al-Odienat, Bassam Al-Naami, Roberto De Fazio, Paolo Visconti
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Future Internet
Subjects:
solar energy forecasting
Pearson Correlation Coefficient PCC
principal component analysis filter
deep learning LSTM
machine learning ANFIS
Online Access:https://www.mdpi.com/1999-5903/14/3/79

Internet

https://www.mdpi.com/1999-5903/14/3/79

Similar Items