Application of Curve Fitting and Surface Fitting Tools for High Leverage Points and Outliers of Wind Speed Prediction

Climate change is generally accepted as the greatest environmental challenge our world is facing today. Together with the need to ensure long-term security of energy supply, it imposes an obligation on all of us to consider ways of reducing our carbon footprint and sourcing more of our energy from renewable sources. Wind energy is one such source and this paper proposes a few methodologies to predict the speed of wind. Multivariate regression model, curve fitting, surface fitting model and time series model are implemented for the test data collected from a wind farm. The results obtained are then compared with the actual values available for validation.