Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks
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...
| Main Authors: | Islam, B., Baharudin, Z., Nallagownden, P. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.26033 / |
| Published: |
Asian Research Publishing Network
2015
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949985436&partnerID=40&md5=26af41038764c477d9109fc767bc89d2 http://eprints.utp.edu.my/26033/ |
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