Short Term Load Forecasting for Simillar Day Using Fuzzy Logic And Artificial Neural Network

Authors

  • Deepak Mistry Electrical Engineering Department, L.D Collage of Engineering
  • Krunal Shah Electrical Engineering Department,SRICT
  • Vidhi Shah Electrical Engineering Department, Pacific school of engineering

Keywords:

Load forecasting, Fuzzy logic, Artificial neural network, STLF

Abstract

Now a day, the load side demands varies continuously with time. So, it is required to forecasting the load to provide a reliable
power demand to the load. Different short term forecasting methods are available. In this paper, fuzzy logic method is used. In,
short term load forecasting by fuzzy method, hourly loads, day times, humidity, temperature etc. data are used. Along with these
the past time data for same periods are used. So, these inputs are used to prepare a fuzzy logic. Th

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Published

2015-04-25

How to Cite

Deepak Mistry, Krunal Shah, & Vidhi Shah. (2015). Short Term Load Forecasting for Simillar Day Using Fuzzy Logic And Artificial Neural Network. International Journal of Advance Research in Engineering, Science & Technology, 2(4), 163–166. Retrieved from https://ijarest.org/index.php/ijarest/article/view/64

Issue

Vol. 2 No. 4 (2015): Volume: 02, Issue: 04 - April, 2015.

Section

Articles