Application of Neural Networks to Power Systems for Electrical Load Forecasting

  • Dr. Mithilesh Singh Department of Electrical and Electronics Engineering, Kruti Institute of Technology and Engineering, (C.S.V.T.U.) Raipur, C.G.India 492001
  • Dr. Shubhrata Gupta National Institute of Technology Raipur, India, 492010
Keywords: Artificial neural network (ANN),, load forecasting, power system,, power quality.

Abstract

The artificial neural network system referred as parallel distributed processors conserve the information previously learnt but same time accessible to learning new information. This paper gives a brief indication of artificial neural network and its application in power system for electrical load forecasting which can further be used for enhancement of power quality. The accuracy of load forecasts has a significant effect on economy and control of power system operations for reliable and secure operation of power system. In this paper the accurate and real time data are collected from Chhattisgarh load dispatch centre of western grid of India of year 2018. This data of power flow is simulated using artificial neural network. The purpose of short term forecasting is to satisfy as much as possible, to improve prediction accuracy.

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Published
2020-01-27
How to Cite
Singh, D., & Gupta, D. (2020). Application of Neural Networks to Power Systems for Electrical Load Forecasting. CSVTU Research Journal, 8(2), 152-159. Retrieved from http://csvtujournal.in/index.php/rjet/article/view/81
Section
Articles