Multivariate regression models for prediction of wind speed

As we progress in both time and technology, our energy needs are rising at an exponential level and hence we need to tap unconventional sources of energy more efficiently. Wind energy is one such source and this paper presents a method to predict the speed of wind, on which the wind energy generated, depends more efficiently and hence avoid both costly overproduction and underproduction. This can be achieved by statistical methods wherein data in large numbers are collected, analyzed for functional relationship using Multivariate regression models. The results obtained are then compared with the actual values available for validation.