The short-term load forecasting of power system based on genetic-fuzzy algorithm

The fuzzy system with network structure as the forecasting model, and the improved genetic algorithm is taken to confirm system parameters. A case study of load forecasting in a certain power network shows that the model which is based on this way has a better fitting precision.

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Bibliographic Details
Published in2008 China International Conference on Electricity Distribution pp. 1 - 4
Main Authors Qiao-lin Ding, Xue-hua Pan, Jian-xin Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Fuzzy logic
Fuzzy set theory
Fuzzy system
Fuzzy systems
Genetic algorithm
Genetic algorithms
Humans
Load forecasting
Network structure
Power system modeling
Power system planning
Power systems
Predictive models
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ISBN9781424433735
1424433738
9781424433711
1424433711
ISSN2161-7481
DOI10.1109/CICED.2008.5211682

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Summary:The fuzzy system with network structure as the forecasting model, and the improved genetic algorithm is taken to confirm system parameters. A case study of load forecasting in a certain power network shows that the model which is based on this way has a better fitting precision.
ISBN:9781424433735
1424433738
9781424433711
1424433711
ISSN:2161-7481
DOI:10.1109/CICED.2008.5211682