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Use of data mining techniques for the analysis of consumer’s electricity consumption over a year in particular region

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dc.contributor.author Savale, Swapnil Krishnachandra
dc.date.accessioned 2016-05-25T15:41:04Z
dc.date.available 2016-05-25T15:41:04Z
dc.date.issued 2016-04-01
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1638
dc.description.abstract Data mining techniques are used to discover electricity consumption pattern at regional level in a city and used to extract knowledge concerning to the electricity consumption with respect to atmospheric temperature and physical distance from geographic features like river, farm, ground and highway. The demand for electricity keeps on increasing almost every year and almost in every region. Installing and developing such a new electricity generation plants is practically impossible due to environmental preservation awareness and pollution control policies of government. To deal with such situation, one needs to find the optional ways for handling and management electricity loads in future with current capacity of electricity generation. en_US
dc.language.iso en_US en_US
dc.subject Data analysis en_US
dc.subject Data mining en_US
dc.subject Electricity consumption en_US
dc.title Use of data mining techniques for the analysis of consumer’s electricity consumption over a year in particular region en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US


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