A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings-Reference-Cited by-同舟云学术

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Published:2015-10 Issue: Volume:50 Page:1352-1372
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Raza Muhammad Qamar,Khosravi Abbas

Funder

Universiti Teknologi PETRONAS

The University of Queensland

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference128 articles.

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2. Weather sensitive method for short term load forecasting in electric power utility of Serbia;Ruzic;IEEE Trans Power Syst,2003

3. Kamel N, Baharudin Z. Short term load forecast using Burg autoregressive technique. In: Proceedings of 2007 international conference on intelligent and advanced systems. ICIAS; 2007. p. 912–6.

4. Assessing tolerance-based robust short-term load forecasting in buildings;Borges;Energies,2013

5. A generalized knowledge-based short-term load-forecasting technique;Rahman;IEEE Trans Power Syst,1993

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