An Intelligent Ensemble Neural Network Model for Wind Speed Prediction in Renewable Energy Systems

Table 7

Comparison of MSE for the approaches in the existing and proposed ensemble NN model.

S. number	Various approaches	Criteria employed for fixing number of hidden neurons	MSE
1	Li et al. method [44]		0.1532
2	Tamura and Tateishi method [45]		0.2179
3	Fujita method [46]		0.1982
4	Zhang et al. method [47]		0.2246
5	Ke and Liu method [48]		0.0691
6	Xu and Chen method [49]		0.0731
7	Shibata and Ikeda method [50]		0.1076
8	Hunter et al. method [51]		0.1627
9	Sheela and Deepa method [52]		0.0587
10	Proposed ensemble NN model		0.0151