Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks

• Main Authors: Islam, B., Baharudin, Z., Nallagownden, P.
• Format: Article
• Published: Asian Research Publishing Network 2015
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949985436&partnerID=40&md5=26af41038764c477d9109fc767bc89d2; http://eprints.utp.edu.my/26033/

Numerous techniques have been applied by the researchers to predict the future electrical energy demand, which can be broadly categorized as parametric (statistical) and non-parametric (intelligent) techniques. The non-parametric or intelligent methods which are based on artificial intelligence are...