Solar Energy Prediction for Malaysia Using Artificial Neural Networks

Table 6

Comparison with previous work.

Reference	MAPE (%)	MBE (%)	RMSE (%)	Number of inputs	Network topology	Number of used stations	Country
[6]	—	—	6.5–19.1	5	FF; MLP	10	KSA
[7]	6.4	—	—	8	FF; MLP	2	Oman
Mihlakakou, [14]	—	—	6.05–79.02	7	FF; MLP	1	Greece
[12]	—	—	6.5–51.5	7	FF; MLP	3	Spain
Atsu, 2002	—	—	5.4–49.9	5	FF; MLP	8	Oman
[26]	6.78	2.84–3.3	—	6	FF; MLP	12	Turkey
[28]	1.5	—	—	4	FF; MLP	1	Algeria
Elminir, [32]	4.14	−0.71–1.9	—	5	FF; MLP	3	Egypt
[31]	—	−1.28−.44	1.65–2.79	7	FFBN	11	India
Joseph, 2008	—	−16.9–18.6	9.1–20.5	6	FF; MLP	40	China
Proposed ANN	5.92	1.46	7.96	4	FF; MLP	28	Malaysia