Probabilistic Short-Term Wind Power Forecasting Using Sparse Bayesian Learning and NWP

Table 7

RE values for probabilistic forecasting results in WF-G.

α	RE
	1 h	2 h	3 h	4 h	5 h	6 h
0.1	2.65%	1.68%	2.11%	1.94%	2.47%	2.33%
0.05	1.69%	−0.23%	0.59%	1.43%	1.20%	−1.01%
0.01	−1.82%	−1.95%	−0.30%	−1.46%	−1.63%	−2.08%
	7 h	8 h	9 h	10 h	11 h	12 h
0.1	1.86%	2.77%	3.19%	2.34%	4.12%	3.68%
0.05	−0.95%	0.86%	0.94%	1.06%	−2.13%	1.75%
0.01	−1.42%	−2.19%	−1.24%	−2.07%	−2.58%	−2.93%
	13 h	14 h	15 h	16 h	17 h	18 h
0.1	2.67%	1.61%	3.29%	4.34%	3.35%	2.93%
0.05	−1.23%	1.48%	1.58%	1.67%	−1.76%	1.62%
0.01	−2.39%	−1.85%	−2.46%	−2.40%	−2.46%	−2.69%
	19 h	20 h	21 h	22 h	23 h	24 h
0.1	3.54%	4.26%	3.68%	2.55%	4.01%	3.87%
0.05	1.21%	−2.41%	1.96%	2.14%	1.62%	1.69%
0.01	−1.95%	−2.58%	−2.35%	−2.24%	−2.07%	−2.66%