Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities

Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities

This study presents a machine learning-based photovoltaic (PV) model for energy management and planning in a microgrid with a battery system. Microgrids integrating PV face challenges such as solar irradiance variability, temperature fluctuations, and intermittent generation, which impact grid stabi...

Full description

Saved in:
Bibliographic Details
Main Authors: Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Solar
Subjects:
machine learning
ANFIS
Battery’s State of Charge (SoC)
open/closed loop prediction
electrical model
power generation
Online Access:https://www.mdpi.com/2673-9941/5/2/26
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2673-9941/5/2/26

Similar Items