An integrated methodology for significant wave height forecasting based on multi‐strategy random weighted grey wolf optimizer with swarm intelligence

An integrated methodology for significant wave height forecasting based on multi‐strategy random weighted grey wolf optimizer with swarm intelligence

Abstract While wave energy is regarded as one of the prominent renewable energy resources to diversify global low‐carbon generation capacity, operational reliability is the main impediment to the wide deployment of the related technology. Current experience in wave energy systems demonstrates that o...

Full description

Bibliographic Details
Main Authors: Emrah Dokur, Nuh Erdogan, Mahdi Ebrahimi Salari, Ugur Yuzgec, Jimmy Murphy
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Renewable Power Generation
Subjects:
artificial intelligence
forecasting theory
multilayer perceptrons
neural nets
optimisation
particle swarm optimisation
Online Access:https://doi.org/10.1049/rpg2.12961

Internet

https://doi.org/10.1049/rpg2.12961

Similar Items