Title :
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
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;
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
DOI :
10.1109/ICCDA.2010.5541318
