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E-info for household electricity consumption in Sri Lanka pilot study for Western Province

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dc.contributor.advisor Premaratne., S Seneviratne, NAMA 2019-02-12T23:20:27Z 2019-02-12T23:20:27Z
dc.description.abstract Motivated by the increasing accessibility oftechnology, more and more spatial data are being made digitally available. How to extract the valuable knowledge from these large (spatial) databases is becoming increasingly important to businesses aswell It is essential to be able to analyse and utilize these large datasets, convert them into useful knowledge, and transmit them through GIS-enabled instruments and the Internet so that the key information can be conveyed to business decision-makers effectively. The main goal ofthis study is to develop a web based system which could be usedfor identify seasonal consumption patterns of household electricity consumption in each Grama Niladhari (GN) divisions across Sri Lanka. This tool can be developed to improve meter reader efficiency and will be a valuable planning tool in CEB andSEA. The study used econometric simulation for analysis key factors affecting household electricity demand. While the system isfedwith the real time electiicity consumption at the household level, it keeps on comparing with the maximum forecasted value that could generate from the hybrid econometric model. Ifthe consumption exceed the demand the system would help tofind the misused location which is visualised on the map. It is recommended, in order to ensure effective & precise execution ofthe systemfurther intervention should be initiated to track the real time electricity consumption in household level. This also helps to decide the total production requiredfor the country in specific time period in the calendar year. Therefore, it helps to preseme time, cost and the resources used for the electricity production in the country which could be used for economic development. en_US
dc.language.iso en en_US
dc.title E-info for household electricity consumption in Sri Lanka pilot study for Western Province en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US Master of Science in information Technology en_US
dc.identifier.department Department of Information Technology en_US 2013-10
dc.identifier.accno 107122 en_US

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