Power load combination forecasting based on triangular fuzzy discrete difference equation forecasting model and PSO-SVR-Reference-Cited by-同舟云学术

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Power load combination forecasting based on triangular fuzzy discrete difference equation forecasting model and PSO-SVR

Published:2019-06-11 Issue:6 Volume:36 Page:5889-5898
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Liu Jinpei¹²,Wang Piao¹,Huang Yanyan¹,Wu Peng³,Xu Qin⁴,Chen Huayou³

Affiliation:

1. School of Business, Anhui University, Hefei, Anhui, China

2. Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA

3. School of Mathematical Sciences, Anhui University, Hefei, Anhui, China

4. School of Computer Science and Technology, Anhui University, Hefei, Anhui, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference40 articles.

1. Ensemble incremental learning random vector functional link network for short-term electric load forecasting;Qiu;Knowledge-Based Systems,2018

2. Local short term electricity load forecasting: Automatic approaches;Dangha;Filippo Maria Bianchi,2017

3. Medium term load forecasting for jordan electric power system using particle swarm optimization algorithm based on least square regression methods;Hattab;Journal of Power & Energy Engineering,2017

4. A comparison of electric power smoothing control methods for distributed generation systems;Kanehira;Electrical Engineering in Japan,2015

5. An improved short-term power load combined forecasting with arma-grach-ann- svm based on fhnn similar-day clustering;Niu;Journal of Software,2013

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