Title :
An overview of forecasting problems and techniques in power systems
Author :
Negnevitsky, Michael ; Mandal, Paras ; Srivastava, Anurag K.
Author_Institution :
Sch. of Eng., Univ. of Tasmania, Hobart, TAS, Australia
Abstract :
This paper provides an overview of forecasting problems and techniques in power system. Available forecasting techniques have been reviewed with the focus on data mining for wind power prediction. This paper also discusses forecasting issues associated with electricity price and load forecasting.
Keywords :
data mining; load forecasting; power markets; power system economics; wind power; data mining; electricity market; electricity price; forecasting technique problem; load forecasting; power system; wind power prediction; Artificial intelligence; Data mining; Economic forecasting; Load forecasting; Neural networks; Power system analysis computing; Power system modeling; Power systems; Wind energy; Wind forecasting; Data mining; intelligent systems; load forecasting; price forecasting; wind power prediction;
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
Print_ISBN :
978-1-4244-4241-6
DOI :
10.1109/PES.2009.5275480
