A Neuro Model for Weather Forecasting

Traditional weather forecasting, using physical methods, requires a lot of computational power and is generally slow. Modern developments in machine learning have led us to experiment with weather prediction using those newly available tools. In this article, we will present the capabilities, advantages and shortcomings of neural networks in the context of weather prediction. The tools consist of open source machine learning libraries, freely available data and two off the shelf computers for all the experiments, in order to show that weather forecasting can be done in a cost-efficient manner.