A strategic numerical approach to estimate actual demand in case of systematic data scarcity

Author

Hasan, Naimul ; Sakib Khan Shabbir, Md Nasmus ; Burhan Uddin, S.A.M. ; Islam, Tarikul ; Islam, Aminul

Author_Institution

Dept. of EEE, Bangladesh Univ. of Bus. & Technol., Dhaka, Bangladesh

fYear

2014

fDate

21-23 Oct. 2014

Firstpage

369

Lastpage

372

Abstract

Electricity, the most convenient form of energy is one of the most important issues in Bangladesh perspectives. It is very important to know the actual demand (i.e. if there were no load-shed) of electricity for proper planning and managing electricity generation. It will help the decision-makers to provide directions on cost-effective investment and on scheduling the operation of the power plants. But it is very difficult to know the actual demand of Bangladesh due to lack of computerized and systematic recording of data. In this research, a method, supported by statistical test, has been proposed to determine the total demand of Bangladesh in a typical peak hour in the year 2011. This method is suitable for a power system like that in Bangladesh where proper information is not available.

Keywords

investment; numerical analysis; power generation planning; power generation scheduling; power plants; statistical analysis; Bangladesh perspectives; actual demand estimation; cost-effective investment; decision-makers; electricity generation management; electricity generation planning; operation scheduling; power plants; power system; statistical test; strategic numerical approach; systematic data scarcity; Companies; Electricity; Power generation; Standards; Substations; Systematics; average demand; hypothesis test; load shed; peak demand;

fLanguage

English

Publisher

ieee

Conference_Titel

Strategic Technology (IFOST), 2014 9th International Forum on

Conference_Location

Cox´s Bazar

Print_ISBN

978-1-4799-6060-6

Type

conf

DOI

10.1109/IFOST.2014.6991142

Filename

6991142