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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
N. S S RAVI TEJA
K L University
Computer Science & IT Engineering

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Narx Based Short Term Wind Power Forecasting Model M. NANDANA JYOTHI; V. DINAKAR; N. S S RAVI TEJA
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.742 KB) | DOI: 10.11591/ijai.v4.i4.pp129-138

Abstract

This paper contributes a short-term wind power forecasting through Artificial Neural Network with nonlinear autoregressive exogenous inputs (NARX) model. The meteorological parameters like wind speed, temperature, pressure, and air density are considered as input parameters collected from KL University area and the calculated generated power as output parameters of neural network to predict the wind power generation. Based on hybrid forecasting technique a code is developed in MATLAB at different hidden layers and delay times.
Co-Authors M. Nandana Jyothi V. DINAKAR