Wind Power Prediction considering Ramping Events Based on Generative Adversarial Network

Table 4

Prediction evaluation of ramping events.

Model		Without GAN			With GAN
		PR (%)	RR (%)	CSI (%)	PR (%)	RR (%)	CSI (%)
Wind farm A	LSTM	89.8406	87.2340	79.4014	99.1935	98.7952	98.0080
	SVR	78.9675	83.2661	68.1518	94.5783	90.9266	86.4220
	BP	74.0458	79.6715	62.2793	90.1639	85.2713	78.0142
	Elman	75.7752	78.9899	63.0645	88.0859	90.3808	80.5357
Wind farm B	LSTM	89.1837	90.4762	81.5299	99.0020	99.3988	98.4127
	SVR	78.4314	80.1603	65.6814	96.8815	93.7626	91.0156
	BP	78.1513	77.1784	63.4812	94.4000	92.9134	88.0597
	Elman	79.2017	75.0996	62.7288	93.5354	94.8770	89.0385
Wind farm C	LSTM	87.1845	93.3472	82.0841	87.1845	98.5915	97.4155
	SVR	80.7767	78.7879	66.3477	80.7767	94.3888	90.7514
	BP	75.9295	80.0000	63.8158	75.9295	94.7368	87.9699
	Elman	73.2824	76.6467	59.9064	73.2824	92.8571	82.4275