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

Memetic Type-2 Fuzzy System Learning for Load Forecasting

Authors
Iván Castro León, Philip C. Taylor
Corresponding Author
Iván Castro León
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.128How to use a DOI?
Keywords
Interval type-2 fuzzy systems, memetic learning, load forecasting.
Abstract

This paper presents an automatic method to design interval type-2 fuzzy systems for load forecasting applications using a memetic algorithm. This hybridisation of a variable-length genetic algorithm and a gradient descent method allows for concurrent learning of the system’s parameters and structure in a versatile fashion. Results are presented addressing chaotic system and market-level one-day-ahead load forecasting.

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-15.2015.128How 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  - Iván Castro León
AU  - Philip C. Taylor
PY  - 2015/06
DA  - 2015/06
TI  - Memetic Type-2 Fuzzy System Learning for Load Forecasting
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  - 909
EP  - 916
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.128
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.128
ID  - CastroLeón2015/06
ER  -