NDLI: Urban Residential Power Load Risk Identification Based on Data Mining

Content Provider	IEEE Xplore Digital Library
Author	Yang Wei-hong Dai Ai-ying Fang Rui Yang Li-fang Jiao Yan-yan
Copyright Year	2009
Abstract	Following the fast urban economic development and the improvement of people living standard, urban residential electricity consumption is increasing quickly. Although the influencing factors of urban residential power demand are complex, objective analysis of risk factors of urban residential load will offer a scientific decision base for the urban power planning and Power Demand-side management. In this paper, related factors with resident living power utility of nine typical cites is chosen based on data mining technology, and association rule mining is finished based on R program language. Then, frequent itemsets of dataset associated with resident living power utility is excavated based on backward algorithm programming. Finally, risk factors of urban residential load can be concluded according to frequent itemsets. This method can avoid subjectivity of determining the risk factors of urban residential load, and also can provide a decision foundation for scientific forecasting of urban residential electricity consumption.
Starting Page	132
Ending Page	136
File Size	366948
Page Count	5
File Format	PDF
ISBN	9780769537351
DOI	10.1109/FSKD.2009.23
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Power demand Urban planning Power generation economics Data Mining Data mining Risk analysis residential load Itemsets urban Economic forecasting Standards development Energy management Risk Identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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