Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Fuzzy clustering and prediction of electricity demand based on household characteristics

Authors
Joaquim L. Viegas, Susana M. Vieira, João M. C. Sousa
Corresponding Author
Joaquim L. Viegas
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.147How to use a DOI?
Keywords
Fuzzy clustering, Fuzzy inference system, Smart meter data, Household energy consumption.
Abstract

The electricity market has been significantly changing in the last decade. The deployment of smart meters is enabling the logging of huge amounts of data relating to the operations of utilities with the potential of being translated into valuable knowledge on the behaviour of consumers. This work proposes a methodology for predicting the typical daily load profile of electricity usage based on static data using fuzzy clustering and modelling. The methodology intends to: (1) determine consumer segments based on the metering data using the fuzzy c-means clustering algorithm, and (2) develop Takagi-Sugeno fuzzy models in order to predict the demand profile of the consumers.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.147How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Joaquim L. Viegas
AU  - Susana M. Vieira
AU  - João M. C. Sousa
PY  - 2015/06
DA  - 2015/06
TI  - Fuzzy clustering and prediction of electricity demand based on household characteristics
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1040
EP  - 1046
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.147
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.147
ID  - Viegas2015/06
ER  -