Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation

Published 2015 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation
Authors
Keywords
Global solar radiation forecasting, RBF neural network, Hard-ridge penalty, Cuckoo search algorithm, Differential evolution
Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 95, Issue -, Pages 42-58
Publisher
Elsevier BV
Online
2015-02-25
DOI
10.1016/j.enconman.2015.02.020

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.