Deep Learning Enhanced Solar Energy Forecasting with AI-Driven IoT

Table 4

Predicting MAE results for one year of data.

		2017.10	2017.11	2017.12	2018.1	2018.2	2018.3	2018.4	2018.5	2018.6	2018.7	2018.8	2018.9	Overall
7.5 min	MLP	0.829	0.88	1.15	1.36	0.70	0.61	0.39	0.42	0.39	0.72	0.67	0.83	0.72
	LSTM	0.89	0.95	1.21	1.47	0.74	0.67	0.35	0.52	0.53	0.74	0.69	0.91	0.78
	ALSTM	1.049	1.12	1.22	1.56	0.84	0.62	0.39	0.45	0.44	0.83	0.77	1.05	0.83
	Prop.	0.85	0.84	1.25	1.55	0.78	0.57	0.32	0.40	0.33	0.81	0.80	0.88	0.70
15 min	MLP	0.91	0.92	1.17	1.38	0.69	0.73	0.58	0.58	0.61	0.84	0.75	0.91	0.82
	LSTM	1.05	1.25	1.61	1.61	0.97	0.67	0.41	0.49	0.42	0.97	0.70	1.02	0.90
	ALSTM	0.95	1.24	1.42	1.65	1.25	0.76	0.47	0.44	0.78	1.16	0.82	1.12	0.95
	Prop.	1.022	1.20	1.53	1.55	1.16	0.74	0.49	0.54	0.42	0.81	0.83	0.91	0.85
30 min	MLP	1.58	2.02	2.09	2.29	1.35	1.03	0.55	0.73	0.57	1.26	1.30	1.47	1.32
	LSTM	2.18	2.98	3.00	2.73	2.78	1.27	0.86	0.97	0.67	1.51	1.73	2.60	1.90
	ALSTM	1.19	2.24	2.99	3.16	2.23	0.76	0.77	0.66	0.46	1.39	1.12	2.43	1.47
	Prop.	1.64	1.66	2.07	2.29	1.30	1.39	0.67	0.64	0.68	1.10	1.23	2.13	1.38