ELECTRICAL ENERGY FORECASTING - A PROBABILISTIC APPROACH

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.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.identifier.issn	2073-6444
dc.identifier.uri	http://hdl.handle.net/123456789/531
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

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