Subsampled support vector regression ensemble for short term electric load forecasting-Reference-Cited by-同舟云学术

Subsampled support vector regression ensemble for short term electric load forecasting

Published:2018-12 Issue: Volume:164 Page:160-170
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Li Yanying,Che Jinxing,Yang Youlong

Funder

National Natural Science Foundation of China

Foundation of the Doctoral Scientific Research of Baoji University of Arts and Sciences

Foundation of Natural Science Basic Research Plan in Shaanxi Province of China

Scientific Research Program Funded by Shaanxi Provincial Education Department, China

Science and Technology Project of Jiangxi Provincial Department of Education

scientific and technological innovation

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

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4. A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting;Xiao;Appl Energy,2016

5. Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables;Chui;Eur J Ind Eng,2009

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