Based on meteorological factors and short-term load forecasting genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Zhu:2010:ICCDA,

• author = "Huan-rong Zhu and Ya-min Li and Ia-mei Meng",
• title = "Based on meteorological factors and short-term load forecasting genetic programming",
• booktitle = "2010 International Conference on Computer Design and Applications (ICCDA)",
• year = "2010",
• month = "25-27 " # jun,
• volume = "3",
• pages = "V3--465--V3--467",
• abstract = "Through the introduction of forecasting temperature such as humidity and wind speed as well as human comfort of the new concept of the weather, considering the meteorological factors on the impact of electricity load, the use of genetic programming(GP) method to establish the mathematical model of load forecasting to meet certain precision required under the conditions of a particular time in the future developing trend of the load to make estimates and assumptions of science.",
• keywords = "genetic algorithms, genetic programming, electricity load impact, forecasting temperature, human comfort, humidity, mathematical model, meteorological factors, short-term load forecasting, wind speed, humidity, load forecasting, weather forecasting",
• DOI = "doi:10.1109/ICCDA.2010.5541318",
• notes = "Dept. of Mech. & Electron. Eng., Agric. Univ. of Hebei, Baoding, China Also known as \cite{5541318}",

}

Genetic Programming entries for Huan-rong Zhu Ya-Min Li Lamei Meng

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