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
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