Work

A Hybrid LSTM-Single Candidate Optimizer Model for Short-Term Wind Power Prediction

Year: 2025

Type: article

Abstract: Accurate prediction of wind energy plays a vital role in maintaining grid stability and supporting the broader shift toward renewable energy systems. Nevertheless, the inherently variable nature of wind and the intricacy of h... | Find, read and cite all the research you need on Tech Science Press

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.067851

Authors: Mehmet Balci, Emrah Dokur, Ugur Yuzgec

Institution: Bilecik Şeyh Edebali Üniversitesi

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W4412512776