DocumentCode :
452893
Title :
A Probabilistic Approach of Electrical Energy Forecasting
Author :
Ahsan, Q. ; Uddin, Moin
Author_Institution :
Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Eng. & Technol., Dhaka
Volume :
2
fYear :
2005
fDate :
16-19 May 2005
Firstpage :
1070
Lastpage :
1074
Abstract :
The optimal use of national energy resources requires long term energy forecasting. The consumption of electricity is the most sophisticated form of energy use. It is also one of the major energy consumption sectors. This paper presents a methodology of forecasting long term electrical energy demand. The methodology is based on the forecasting of long term hourly demand. A relationship is developed among the forecasted annual/seasonal average hourly load and the probabilistic laws of load ratios to forecast the hourly load. The proposed methodology is validated by applying it to the power system of Bangladesh Power Development Board
Keywords :
energy resources; load forecasting; power consumption; power system planning; probability; electrical energy forecasting; electricity consumption; energy consumption sector; energy use; load ratio forecasting; long term electrical energy demand; national energy resources; probabilistic approach; Energy consumption; Energy resources; Industrial power systems; Load forecasting; Military communication; Power engineering and energy; Power system analysis computing; Power system planning; Random variables; Weather forecasting; National resource planning; electrical energy forecasting; forecasted hourly load; load ratios; power system expansion analysis; probability density functions of load ratios;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
Type :
conf
DOI :
10.1109/IMTC.2005.1604306
Filename :
1604306
Link To Document :
بازگشت