DocumentCode :
2048917
Title :
Load forecasting techniques and methodologies: A review
Author :
Singh, A.K. ; Ibraheem, I. ; Khatoon, Shahida ; Muazzam, M. ; Chaturvedi, D.K.
Author_Institution :
Dept. of Electr. Eng., Jamia Millia Islamia, New Delhi, India
fYear :
2012
fDate :
17-19 Dec. 2012
Firstpage :
1
Lastpage :
10
Abstract :
Electricity demand forecasts are extremely important for energy suppliers and other participants in electric energy generation, transmission, distribution and markets. Accurate models for electric power load forecasting are essential to the operation and planning of a utility company. Load forecasts are extremely important for energy suppliers and other participants in electric energy generation, transmission, distribution and markets. This paper presents a review of electricity demand forecasting techniques. The various types of methodologies and models are included in the literature. Load forecasting can be broadly divided into three categories: short-term forecasts which are usually from one hour to one week, medium forecasts which are usually from a week to a year, and long-term forecasts which are longer than a year. Based on the various types of studies presented in these papers, the load forecasting techniques may be presented in three major groups: Traditional Forecasting technique, Modified Traditional Technique and Soft Computing Technique.
Keywords :
fuzzy logic; load forecasting; neural nets; power engineering computing; electric energy distribution; electric energy generation; electric energy transmission; electric markets; electric power load forecasting; electricity demand forecasting techniques; energy suppliers; load forecasting techniques; medium forecasts; modified traditional technique; short-term forecasts; soft computing technique; traditional forecasting technique; utility company operation; utility company planning; Electricity Demand; Forecasting Techniques; Load Forecasting; Regression method; SVM; Soft Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Control and Embedded Systems (ICPCES), 2012 2nd International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4673-1047-5
Type :
conf
DOI :
10.1109/ICPCES.2012.6508132
Filename :
6508132
Link To Document :
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