Short time solar power forecasting using P-ELM approach

Short time solar power forecasting using P-ELM approach

Abstract Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term solar power forecasting method using...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuqi Shi, Boyang Liu, Long Ren, Yu Liu
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Extreme learning machine (ELM)
Pre-trained extreme learning machine (P-ELM)
Short-term forecasting
Solar power forecasting
Online Access:https://doi.org/10.1038/s41598-024-82155-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items