An Optimal Algorithm for Renewable Energy Generation Based on Neural Network

Table 4

Comparison of the proposed and existing algorithms.

Model	Evaluation index (%)	Type a weather	Type b weather	Type c weather
Ref. [29]	Relative root mean square error	25.057	23.521	21.937
	Mean relative error	16.340	15.962	15.387
Ref. [30]	Relative root mean square error	13.262	14.683	13.001
	Mean relative error	8.903	9.312	9.103
Ref. [31]	Relative root mean square error	10.542	9.126	10.821
	Mean relative error	9.031	8.524	9.354
Attention-based CNN-LSTM	Relative root mean square error	6.864	6.254	5.532
	Mean relative error	5.985	4.954	4.129
Proposed IAM-CNN-LSTM	Relative root mean square error	5.392	4.635	4.307
	Mean relative error	4.325	3.624	3.684