Development of Wind Power Prediction Models for Pawan Danavi Wind Farm in Sri Lanka

Table 4

Expression of wind power models.

Ref.	Area/country of study	Equation of the wind power model	Performance
48	Brazil	Power output = −130.662 + 37.760 wind speed	RMSE = 101.29 kW
48	Brazil	Power output = −18.500–0.201 wind speed + 2.710 (wind speed)^2	RMSE = 100.64 kW
49	The islands of Crete and Kefalonia, Greece	Power output = 10.45 wind speed + 7.08 (wind speed)^2–108.5	RMSE = 267.45 kW
			R^2 = 0.37 (R = 0.61)
50	Florida, USA	Pout = Prated CF = Prated [0.087 V–Prated/D^2]	Accuracy = 2.6–3.5%
		where
		Pout = power output
		Prated = rated power of the turbine (kW)
		CF = capacity factor
		V = yearly averaged wind speed (m/s)
		D = turbine diameter (m)
51	Goodnoe Hills, Washington, USA	U(t + 1) = 1.1044U (t)−0.2273U (t − 1)	Forecast probability < 0.885
		where
		U(t + 1) = one hour ahead power forecast