Table of Contents
ISRN Signal Processing
Volume 2013 (2013), Article ID 156540, 5 pages
Research Article

Weather Forecasting Using Sliding Window Algorithm

1Kvantum Inc., Gurgaon 122001, India
2MJP Rohilkhand University, Bareilly 243006, India

Received 7 June 2013; Accepted 19 August 2013

Academic Editors: W.-L. Hwang and G. A. Tsihrintzis

Copyright © 2013 Piyush Kapoor and Sarabjeet Singh Bedi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


To predict the future’s weather condition, the variation in the conditions in past years must be utilized. The probability that the weather condition of the day in consideration will match the same day in previous year is very less. But the probability that it will match within the span of adjacent fortnight of previous year is very high. So, for the fortnight considered for previous year a sliding window is selected of size equivalent to a week. Every week of sliding window is then matched with that of current year’s week in consideration. The window best matched is made to participate in the process of predicting weather conditions. The prediction is made based on sliding window algorithm. The monthwise results are being computed for three years to check the accuracy. The results of the approach suggested that the method used for weather condition prediction is quite efficient with an average accuracy of 92.2%.