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

Author

Huan-rong, Zhu ; Ya-min, Li ; Ia-mei, Meng

Author_Institution

Dept. of Mech. & Electron. Eng., Agric. Univ. of Hebei, Baoding, China

Volume

3

fYear

2010

fDate

25-27 June 2010

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; humidity; load forecasting; weather forecasting; electricity load impact; forecasting temperature; genetic programming; human comfort; humidity; mathematical model; meteorological factors; short-term load forecasting; wind speed; Genetic programming; Humans; Humidity; Load forecasting; Mathematical model; Meteorological factors; Temperature; Weather forecasting; Wind forecasting; Wind speed; Meteorological factors; components; genetic programming; load forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Design and Applications (ICCDA), 2010 International Conference on

Conference_Location

Qinhuangdao

Print_ISBN

978-1-4244-7164-5

Electronic_ISBN

978-1-4244-7164-5

Type

conf

DOI

10.1109/ICCDA.2010.5541318

Filename

5541318