Feature selection and parameter optimization with GA-LSSVM in electricity price forecasting
Forecasting price has now become essential task in the operation of electrical power system. Power producers and customers use short term price forecasts to manage and plan for bidding approaches, and hence increasing the utility’s profit and energy efficiency as well. The main challenge in for...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Politehnica-Publishing House
2014
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/14821/1/doc.pdf http://eprints.utem.edu.my/id/eprint/14821/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknikal Malaysia Melaka |
Language: | English |
Be the first to leave a comment!