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Lookup NU author(s): Professor Phil Taylor
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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.
Author(s): Leon IC, Taylor PC
Editor(s): José M. Alonso, Humberto Bustince, Marek Reformat
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Year of Conference: 2015
Pages: 909-916
Online publication date: 30/06/2015
Acceptance date: 01/01/1900
Publisher: Atlantis Press
URL: https://doi.org/10.2991/ifsa-eusflat-15.2015.128
DOI: 10.2991/ifsa-eusflat-15.2015.128
Library holdings: Search Newcastle University Library for this item
Series Title: Advances in Intelligent Systems Research
ISBN: 9789462520776
