Simulating climatic variables by using stochastic approach

In this paper, stochastic approach with Autoregressive Integrated Moving Average (ARIMA) based techniques are applied to generate solar radiation, temperature and relative humidity forecast with the purpose of being incorporated within agricultural facilities predictive control strategy. This study opens a new perspective about light on the characteristics of solar radiation, temperature and relative humidity and may help planners in agriculture and related industries.