Temperature Sensitive Short Term Load Forecasting: Fuzzy Logic Approach

Authors(1) :-Prof. Dharati Kulkarni

Load forecasting is an essential aspect for planning and operation of power system to have efficient and reliable power operation. It is needed for unit commitment, economic allocation of generation and maintenance schedules. Short Term Load Forecasting (STLF) is a necessary daily tool for power dispatch. It also assists for prevention of overloading. Though there are some techniques available for such forecasting, they do have certain limitations particularly where data is vague and imprecise. Therefore, the present paper employs Fuzzy Logic Approach in Short Term Load Forecasting dealing with sensitivity of daily temperature as input variable. The proposed model has been validated with actual daily load.

Authors and Affiliations

Prof. Dharati Kulkarni
Department of Electrical & Electronics Engineering, MVJ College of Engineering, Bengaluru, Karnataka, India

Power System Operation, Short Term Load Forecasting,Temperature, Fuzzy Logic Technique.

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 242-246
Manuscript Number : CSEIT183636
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prof. Dharati Kulkarni, "Temperature Sensitive Short Term Load Forecasting: Fuzzy Logic Approach ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.242-246, July-August-2018.
Journal URL : http://ijsrcseit.com/CSEIT183636

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