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Research on load classification based on user's typical daily load curve

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

According to the characteristics that the load nodes of park is concentrated, the paper first introduces the hierarchical clustering method, then choose typical park users to get the daily load curve, and use this method to do a cluster with typical daily load curve. The clustering result shows that the classification method can simply show the load characteristics of each user and provide guidance for the park energy supply.

Original languageEnglish
Title of host publication2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538614273
DOIs
StatePublished - 28 Jun 2017
Event2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Beijing, China
Duration: 27 Nov 201728 Nov 2017

Publication series

Name2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017
Country/TerritoryChina
CityBeijing
Period27/11/1728/11/17

Keywords

  • Load nodes of park
  • daily load curve
  • hierarchical clustering method

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