Most of the contemporary work on wind power forecasting is seen to be based on the need for renewable energy sources and uses in the current times. In particular, it is noted that wind energy uses have increased in current times and worldwide the power increase has resulted in around 24.3 GW to an amount of four-fold increase which is 203.5 GW this year. The power system balance is reportedly adjusted in order to ensure the demands do not increase challenging the production. Wind-power being a renewable energy source it is necessary to ensure that the generation capacity should also be considered when analyzing for demand. Demands cannot be suppressed for long and it is absolutely necessary to work on increasing wind power demands over the years. As a series of fluctuating energy, it is necessary to plan for the variations in energy flow, too.
Most current research is in fact focused on how to compensate for the variations. Now it is a known factor that wind energy demands are adjustable. However, the conversion to renewable energy sourcing has created vast markets for renewables such as solar energy and wind energy. The problems and issues in wind energy are mainly because of wind energy being dependent on the weather. It is in this context that there is a need for power forecasting models for wind energy. Research studies on wind power generation, focused on on how to use weather dependency to advantage. More importantly, how to use variable and intermittent spurts over different time scales was the focus of these studies. Accurate forecasting might be difficult, but it is the focus of this study to aim to be as accurate as possible to make wind power use reliable. Large scale wind power integration would be possible only when reliability and accuracy are increased .