Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting

Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting

This study explores advanced multivariate models that incorporate non-climatic exogenous variables for very short-term photovoltaic energy forecasting. By integrating historical energy data from multiple photovoltaic plants, the research aims to improve the prediction accuracy of a target plant whil...

Full description

Saved in:
Bibliographic Details
Main Authors: Isidro Fraga-Hurtado, Julio Rafael Gómez-Sarduy, Zaid García-Sánchez, Hernán Hernández-Herrera, Jorge Iván Silva-Ortega, Roy Reyes-Calvo
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Electricity
Subjects:
photovoltaic power forecasting
multivariate models
LSTM
BiLSTM
renewable energy
Online Access:https://www.mdpi.com/2673-4826/6/2/29
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items