| dc.contributor.author |
Uddin, Col Moin |
|
| dc.date.accessioned |
2020-06-11T03:28:37Z |
|
| dc.date.available |
2020-06-11T03:28:37Z |
|
| dc.date.issued |
2010-02 |
|
| dc.identifier.issn |
2073-6444 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/531 |
|
| dc.description |
Col Moin Uddin
Senior. Instructor, Department of Electrical, Electronic and Communication Engineering, MIST, E-mail: moinmist @yahoo.com |
en_US |
| dc.description.abstract |
Energy demand forecasting is essentially required for the optimal use of energy resources of a country. This paper
presents a methodology to forecast the electrical energy demand of a power system. The methodology is based on the
forecasting of 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 a power system. The methodology is useful for long term hourly load forecasting and also for the
forecast of electric energy requirement of a country. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
R&D Wing, MIST |
en_US |
| dc.subject |
Electrical energy forecasting, Forecasted hourly load, Forecasted annual/seasonal average hourly load, Load ratios, Probability density functions of load ratios, Power system expansion planning. |
en_US |
| dc.title |
ELECTRICAL ENERGY FORECASTING - A PROBABILISTIC APPROACH |
en_US |
| dc.type |
Article |
en_US |
