An intelligent hybrid short-term load forecasting model for smart power grids
An accurate load forecasting is always particularly important for optimal planning and energy management in smart buildings and power systems. Millions of dollars can be saved annually by increasing a small degree of improvement in prediction accuracy. However, forecasting load demand accurately is...
| Main Authors: | Raza, M.Q., Nadarajah, M., Hung, D.Q., Baharudin, Z. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19525 / |
| Published: |
Elsevier Ltd
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009949468&doi=10.1016%2fj.scs.2016.12.006&partnerID=40&md5=1f2e83499b0a560957bdf8fb1509400b http://eprints.utp.edu.my/19525/ |
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