A Power Load Forecasting Model Based on FA-CSSA-ELM

Table 2

Experiment I: comparison of data with the evaluation function of a single competitive model.

Data	MSE	MAPE	RMSE	MAE
Monday
ELMAN	1.5202	3.1632	3.1632	20.5353
ELM	0.9305	1.9381	1.9381	12.6597
SVM	5.7933	13.0061	13.0061	80.9685
FA-CSSA-ELM	0.77477	1.6099	1.6099	9.8266
Tuesday
ELMAN	1.4905	3.1364	3.1364	20.2276
ELM	6.307	2.2570	2.2570	13.8804
SVM	5.7933	13.9705	13.9705	88.3321
FA-CSSA-ELM	0.8733	1.8208	1.8208	12.3912
Wednesday
ELMAN	2.4602	5.1642	5.1642	33.698
ELM	1.3248	2.7226	2.7226	17.6342
SVM	5.307	10.9705	10.9705	67.3321
FA-CSSA-ELM	1.061	2.2299	2.2299	14.6999
Thursday
ELMAN	1.8634	3.977	3.977	25.2004
ELM	1.3149	2.8083	2.8083	18.0642
SVM	6.3128	14.2424	14.2424	89.8527
FA-CSSA-ELM	1.118	2.3729	2.3729	15.6980
Friday
ELMAN	1.3959	3.0618	3.0618	19.5877
ELM	1.0001	2.201	2.201	13.9655
SVM	5.7571	12.6769	12.6769	80.5392
FA-CSSA-ELM	0.7942	1.8056	1.8056	11.7099
Saturday
ELMAN	1.674	3.646	3.646	23.0146
ELM	1.1409	2.4056	2.4056	15.4727
SVM	5.7579	13.1629	13.1629	83.5783
FA-CSSA-ELM	1.0377	2.2249	2.2249	14.5872
Sunday
ELMAN	1.6556	3.536	3.536	22.5124
ELM	1.9696	2.4904	2.4904	15.9062
SVM	5.7579	13.1629	13.1629	83.5783
FA-CSSA-ELM	1.0326	2.1783	2.1783	14.0861