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...

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Bibliographic Details
Main Authors: Raza, M.Q., Nadarajah, M., Hung, D.Q., Baharudin, Z.
Format: Article
Published: Elsevier Ltd 2017
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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Institution: Universiti Teknologi Petronas