The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 52-502
Full Name: Blerim Rexha
Position: Professor
Age: ON
Sex: Male
Address: Kodra e Diellit, p.n. 10000 - Prishtina, Kosovo
Country: ALBANIA
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E-mail address: blerim.rexha@fiek.uni-pr.edu
Other E-mails: blerim.rexha@gmx.net
Title of the Paper: Developing electricity forecast web tool for Kosovo market
Authors as they appear in the Paper: Blerim Rexha, Arben Ahmeti, Lule Ahmedi, Vjollca Komoni
Email addresses of all the authors: blerim.rexha@fiek.uni-pr.edu, a_ahmeti2002@yahoo.com, lule.ahmedi@fiek.uni-pr.edu, vjollca.komoni@fiek.uni-pr.edu
Number of paper pages: 10
Abstract: In this paper is presented a web tool for electricity forecast for Kosovo market for the upcoming ten years. The input data i.e. electricity generation capacities, demand and consume are taken from the document "Kosovo Energy Strategy 2009-2018" compiled by Ministry of Energy of Kosovo and approved by the Kosovo Assembly. The web tool enables different settings for national electricity grid, divided in seven electricity consume regions, five interconnection lines and using domestic generation capacities, using existing power plants and those planed to be built until 2018. It enables different scenarios, such as increasing/decreasing electricity demand in different regions, energy import/export and increasing/decreasing generation capacities. The developed web tool was tested especially against boundary condition such as heavy increased/decreased energy consumption, i.e. beyond the planned economic growth of the country and the delay of starting time of new generati!
on capacities. For these boundary conditions are proposed extra measures to be considered in order to fulfill the security of energy supply criteria. This web application is developed using latest ASP.NET platform, C# as programming language and Microsoft SQL as database server. The web tool shall server as unique tool for governmental decision makers and to contribute inputs to future policy and management decision-making in the energy sector.
Keywords: Electricity Forecast, Simulation, Database, Internet, .NET, Web
EXTENSION of the file: .pdf
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