News Updates Wednesday 24th Oct 2018 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Sept/Oct 2018 extended to 25 Oct 2018, Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

ANFIS Based Short Term Load Forecasting


Author : Harshad P. Oak and Shrikant J. Honade

Pages : 1878-1880
Download PDF
Abstract

In recent years, load forecasting has become one of the major areas of research. Three kinds of forecasting can be performed depending on its occasion scale: short-, medium- and long-term. Short-term forecasts , in exacting have become even more important due to extensive rise of the spirited market. One of the most important benefits of the Short-term forecast is reliability for the system i.e. to make these savings reliable via optimal accurate forecasting. Artificial Neural Networks (ANNs) have been found useful in many non-linear applications employing knowledge-based techniques. This is mainly true for applications such as time-series examination. The success of applying ANN in time-series study has motivated a number of researchers to look at their use in solving the STF trouble. The adaptive neuro-fuzzy inference system presents a good option for the total and automatic parameter purpose for non-linear and real time scenarios.

Keywords: Short term load forecasting (STLF), adaptive neuro fuzzy inference system (ANFIS), neural network (NN).

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)

 

Call for Papers
  1. IJCET- Sept/Oct 2018 Issue

    Submission Last Date
    25 Oct
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-Dec-2018
  5. IJAIE-Dec-2018
  6. IJCSB-Dec-2018
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved