A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulat...
| Main Authors: | Raza, M.Q., Khosravi, A. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31396 / |
| Published: |
Elsevier Ltd
2015
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84935845022&doi=10.1016%2fj.rser.2015.04.065&partnerID=40&md5=03fec9ba16182ed335c0b155417cdacc http://eprints.utp.edu.my/31396/ |
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