Classification of electricity customer groups towards individualized price scheme design

Tao Chen, Kun Qian, Antti Mutanen, Bjcorn Schuller, Pertti Jarventausta, Wencong Su

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

14 Scopus citations

Abstract

This paper introduces classification of electricity residential customers into different groups associated with individualized electricity price schemes, such as time-of-use (TOU) or critical peak pricing (CPP). We use an unsupervised learning method, K-means, assisted by a dimensionality reduction technique and an innovative supervised learning method, extreme learning machine (ELM), to cluster daily load profiles based on hourly AMI measurements. Then, the achieved typical daily load profiles are analyzed and utilized for the design of an electricity price scheme for every subgroup based on symbolic aggregate approximation (SAX). These carefully designed and customized retail price schemes can provide a potential tool for price-based and incentive-based demand response in the Smart Grid context.

Original languageEnglish
Title of host publication2017 North American Power Symposium, NAPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538626993
DOIs
StatePublished - 13 Nov 2017
Externally publishedYes
Event2017 North American Power Symposium, NAPS 2017 - Morgantown, United States
Duration: 17 Sep 201719 Sep 2017

Publication series

Name2017 North American Power Symposium, NAPS 2017

Conference

Conference2017 North American Power Symposium, NAPS 2017
Country/TerritoryUnited States
CityMorgantown
Period17/09/1719/09/17

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