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Temperature Sensitive Short Term Load Forecasting: Fuzzy Logic Approach

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  • Dharati Kulkarni

Abstract

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.

Suggested Citation

  • Dharati Kulkarni, 2018. "Temperature Sensitive Short Term Load Forecasting: Fuzzy Logic Approach," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(6), pages 242-246, July.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i6:id:hcseit183636
    Note: Article URL: https://ijsrcseit.com/CSEIT183636
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