A survey : Predictive Model Based Electrical Consumption

Authors

  • Dhivya V.  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
  • Diana Paul  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
  • R. Kanagaraj  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India

Keywords:

Data Mining, Electricity Consumption

Abstract

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.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-04-30

Issue

Volume 3, Issue 3, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dhivya V., Diana Paul, R. Kanagaraj, " A survey : Predictive Model Based Electrical Consumption , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 3, pp.88-91, March-April-2017.