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Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer
Joint Authors
Castelli, Mauro
Trujillo, Leonardo
Vanneschi, Leonardo
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-28
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Energy consumption forecasting (ECF) is an important policy issue in today’s economies.
An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs.
The paper proposes a semantic based genetic programming framework to address the ECF problem.
In particular, we propose a system that finds (quasi-)perfect solutions with high probability and that generates models able to produce near optimal predictions also on unseen data.
The framework blends a recently developed version of genetic programming that integrates semantic genetic operators with a local search method.
The main idea in combining semantic genetic programming and a local searcher is to couple the exploration ability of the former with the exploitation ability of the latter.
Experimental results confirm the suitability of the proposed method in predicting the energy consumption.
In particular, the system produces a lower error with respect to the existing state-of-the art techniques used on the same dataset.
More importantly, this case study has shown that including a local searcher in the geometric semantic genetic programming system can speed up the search process and can result in fitter models that are able to produce an accurate forecasting also on unseen data.
American Psychological Association (APA)
Castelli, Mauro& Trujillo, Leonardo& Vanneschi, Leonardo. 2015. Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057791
Modern Language Association (MLA)
Castelli, Mauro…[et al.]. Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057791
American Medical Association (AMA)
Castelli, Mauro& Trujillo, Leonardo& Vanneschi, Leonardo. Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057791
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057791