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A survey : Predictive Model Based Electrical Consumption

Authors(3) :-Dhivya V., Diana Paul, R. Kanagaraj

The data mining is the task of analyzing of large quantities of data to derive previously unknown, interesting patterns such as groups of data records, unusual records, and dependencies. It has the ability to turn raw data into useful information. One of the important invention of mankind is electricity. It is considered as a blessing. The availability of this power is very much needed for development and economical stability of the nations. The electricity board in various states and countries perform tasks such as generation, transportation and distribution of electricity to its customers effectively. In this study the various data mining techniques are applied to derive information from the electricity consumption databases.
Dhivya V., Diana Paul, R. Kanagaraj
Data Mining, Electricity Consumption
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Publication Details
  Published in : Volume 3 | Issue 3 | March-April 2017
  Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 88-91
Manuscript Number : IJSRST173310
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Dhivya V., Diana Paul, R. Kanagaraj, "A survey : Predictive Model Based Electrical Consumption ", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 3, pp.88-91, March-April-2017
URL : http://ijsrst.com/IJSRST173310