Performance Comparison of ARIMA and k-NN Models for Short-term Wind Speed Forecasting
11 Pages Posted: 13 Apr 2020
Date Written: April 11, 2020
Abstract
The rapid generation in the wind power is a result of extensive research which is centrally focused on environmental and productive advantages of wind power. A major requirement for this growth is efficient prediction of local wind speed, which provide an estimated potential of wind speed distribution of a region. This paper proposes a methodology for accurate one minute ahead wind speed prediction for two sites of Gujarat region, India. Herein, a comparison between conventional ARIMA and machine learning K-NN model has been presented. Reduced value of performance indices for k-NN makes it a simple and efficient model for prediction of wind speed.
Keywords: Auto Regressive Integrated Moving Average; k-Nearest Neighbor; one-step ahead forecasting
Suggested Citation: Suggested Citation