Artificial Intelligent is regarded as a novel tool for future statistical data estimation. As an important issue. Also, an important issue on how to evaluate weather forecasting. In this context, numerous papers are available to describe methodologies similar to neural networks (NN) regression for weather prediction (time-series application). The next study is a review about nonetheless, to perform ranking as this model is complex due to the variety of the forecasting horizon, time step, data set and performance indication. Also, the accurateness of these models is dependent on input parameters and architecture type algorithms utilized. This leads to a better understanding of the contributions to be expected from analytics. Real data from different country sites will be used while developing the model. The advance of the forecasting is proposed to support countries, future stakeholders, and engineers to select sites of weather systems to evaluate the techno-economic merits of large-scale weather ‘data integration the Objective of this work is to investigate and assess the forecasting statistical models using artificial intelligence techniques. The results indicated that ANN realized enhanced in predicting the advanced casing of the weather forecasting.