Electricity consumption pattern analysis beyond traditional clustering methods: A novel self-adapting semi-supervised clustering method and application case study

Author:

Zhang Xiaohai,Ramírez-Mendiola José Luis,Li Mingtao,Guo Liejin

Funder

UK Research and Innovation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference45 articles.

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3. Hybrid renewable microgrid optimization techniques: A review;Dawoud;Renew Sustain Energy Rev,2018

4. Schofield JR. Dynamic time-of-use electricity pricing for residential demand response: Design and analysis of the Low Carbon London smart-metering trial: Imperial College London; 2015. 10.13140/RG.2.1.2663.6644/2.

5. DR-Advisor: A data-driven demand response recommender system;Behl;Appl Energ,2016

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