A new prediction model of electricity load based on hybrid forecast engine-Reference-Cited by-同舟云学术

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A new prediction model of electricity load based on hybrid forecast engine

Published:2017-10-06 Issue:2 Volume:40 Page:179-186
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

Ghiasi Mohammad¹²,Irani Jam Majid³,Teimourian Milad⁴⁵,Zarrabi Houman⁶,Yousefi Nasser³

Affiliation:

1. Department of Electrical Engineering, Sciences and Research Branch, Islamic Azad University , Tehran, Iran

2. Tehran Metro Operation Company , Tehran, Iran

3. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University , Ardabil, Iran

4. Sama Technical and Vocation Training College, Parsabad Moghan Branch, Islamic Azad University , Parsabad Moghan, Iran

5. Young Research and Elite Club, Germi Branch, Islamic Azad University , Ardabil, Iran

6. ICT Research Center , Tehran, Iran

Publisher

Informa UK Limited

Subject

Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2017.1381157

Reference27 articles.

1. Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energy resources using interactive honey bee mating optimization

2. Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve

3. Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm

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