Abstract
In this paper, a methodology for estimating end-use load shapes using the hourly whole-house metered load data, the household demographic survey data and the weather data (temperature) is presented. End use load shapes presents a method of generating realistic electricity load profile data for some of city of Tripoli domestic buildings. This method could help in predicting the daily load profile from individual flats to community. The results obtained show that the overall methodology provides an effective means for end-use load shape modeling and estimation.
Highlights
Distribution systems obviously exist to supply electricity to the end users, so loads and their characteristics are important
End use load shapes presents a method of generating realistic electricity load profile data for some of city of Tripoli domestic buildings
Mathematical and statistical analysis has been done using Excel and Minitab programs in order to generate domestic load profile for different consumption types, which can be found in details in [7]
Summary
Distribution systems obviously exist to supply electricity to the end users, so loads and their characteristics are important. In November 2009, the Cadmus Group (Cadmus), Navigant Consulting (Navigant), and Global Energy and Technology Consulting (GETCON) has been contracted by the General Electricity Company of Libya (GECOL) to provide an assessment of the demand side management (DSM) potential in Libya These services were provided throughout 2010 and include winter load (end-use metering), estimating DSM potential, and designing appropriate pilot programs. End-use and load metering were conducted between December 2009 and March 2010 for the following six sectors: residential (housing), street lighting, commercial, governmental, agricultural and light industrial [6]. They provided their data without explaining how they conducted their measurements and obtained their results. A supporting detailed survey using a questionnaire of the householders sought to obtain an understanding of the appliances used and energy-related behaviour
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