A Microcontrooller-Based Weather Prediction System using the Sliding Window Algorithm

Abstract

Weather forecasts are made by collecting as much data as possible about the current state of the atmosphere (particularly the temperature, humidity and wind) and using understanding of atmospheric processes to determine how the atmosphere evolves in the future. Weather forecasting is important in all walks of life and it enters agriculture, aviation, traffic, torrential floods and floods. Design weather temperature forecasting and implemented by using a sliding window algorithm applying it by Arduino, using DHT-11 sensor to measure the temperature and fed it into Arduino as input, keypad 4x4 fed it into Arduino as input to enter the temperature degrees that needed by Sliding Window Algorithm. The comparison of weather condition variations using sliding window approach has been found to be highly accurate except for the months of seasonal change where conditions are highly unpredictable, here using Sliding Window Algorithm it to predicted temperature for next day and LCD16X2 to display temperature degree for current day and predicted next day. The results are being computed for four cases for two year getting samples 4 months to check the predictable temperature weather.