Short-Term Load Forecasting Based on the Method of Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Huo:2007:ICMA,
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author = "Limin Huo and Xinqiao Fan and Yunfang Xie and
Jinliang Yin",
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title = "Short-Term Load Forecasting Based on the Method of
Genetic Programming",
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booktitle = "International Conference on Mechatronics and
Automation, ICMA 2007",
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year = "2007",
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pages = "839--843",
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address = "Harbin, China",
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month = "5-8 " # aug,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-0828-3",
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DOI = "doi:10.1109/ICMA.2007.4303654",
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abstract = "The algorithm of Genetic Programming is described and
applied to short-term load forecasting. For the fault
in history load data, the load samples are filtered and
processed generally before using, and then the load
series of the same time point but different days are
chosen as the training sets. According to the complex
expressive capacity of Genetic Programming, the future
short-term load model of different time point is
forecasted by time-sharing. This method of Genetic
Programming can find out relevant elements to electric
load data automatically, so the artificial errors in
forecasting can be avoided effectively. And the future
load value of each time point can be calculated with
the corresponding model created. Finally, it proves
that the method of Genetic Programming in short-term
load forecasting is better through out comparison
between the results forecasted by Genetic Programming
and time series.",
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notes = "Department of Mechanical and Electronic Engineering,
Agricultural University of Hebei, Baoding 071001,
China.",
- }
Genetic Programming entries for
Yuan Hongbo
Xinqiao Fan
Yunfang Xie
Jinliang Yin
Citations