On error measures in wind forecasting evaluations

Wind power is utilized as an environmentally friendly source of bulk electricity. However, large variations of wind speed and subsequently wind power, makes large-scale wind power integration into the grid challenging. Forecasting wind power generation is one of the methods to cope with this issue. Hence, a large variety of different forecasting models are developed in the literature. Since all of forecasts have inherent errors, the procedure of error assessment of forecasting models is important. In this paper, we discuss recent wind forecasting works with a focus on their error assessment criteria. A review of the literature is provided and most common error measures are studied.

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