Photovoltaic Power Generation Forecasting Using a Novel Hybrid Intelligent Model in Smart Grid

Table 1

Dataset.

Month	Temperature (Celsius degree)	Solar irradiance (kWh/m^2)	Wind speed (m/s)	Humidity (%)	Load (MWh)
01	23	154.25	67.75	36.2	93.1
02	22	173.25	72.25	38.5	93.6
03	22	154	66.25	34	95.8
04	26	184.75	72.25	37.4	101.8
05	24	184.25	71.25	34.4	97.3
06	24	210.25	74.75	39	104.5
07	26	181	69.75	36.4	105.1
08	25	176	72.5	37.8	99.6
09	25	191	74	38.1	100.9
10	23	198.25	73.5	42.1	99.6
11	26	186.25	74.5	38.5	101.5
12	27	216	76	39.4	103.6
13	32	180.5	69.5	38.4	102
14	30	205.25	71.25	39.4	104.1
15	35	187.75	69.5	40.5	101.3
16	35	162.75	66	36.4	99.1
17	34	195.75	71	38.9	101.9
18	32	209.25	71	42.1	107.6
19	28	183.75	67.75	38	106.8
20	33	211.75	73.5	40	106.2
21	28	179	68	39.1	103.3
22	28	200.5	69.75	41.3	111.4
23	31	140.25	68.25	33.9	86
24	32	148.75	70	35.5	86.7
25	28	151.25	67.75	34.5	90.2
26	27	159.25	71.5	35.7	89.6
27	34	131.5	67.5	36.2	88.6
28	31	148	67.5	38.8	97.4
29	27	133.25	64.75	36.4	93.5
30	29	160.75	69	36.7	97.4
31	32	182	73.75	38.7	100.5
32	29	160.25	71.25	37.3	93.5
33	27	168	71.25	38.1	93
34	31	218.5	71	39.8	111.7
35	31	247.25	73.5	42.1	117
36	32	191.75	65	38.4	118.5
37	35	202.25	70	38.5	106.5
38	30	196.75	68.25	42.1	105.6
39	36	363.15	72.25	51.2	136.2
40	30	203	67	40.2	114.8
41	35	262.75	68.75	43.2	128.3
42	34	205	29.5	36.6	106
43	37	217	70	37.3	113.3
44	39	212	71.5	41.5	106.6
45	39	125.25	68	31.5	85.1
46	33	164.25	73.25	35.7	96.6
47	40	133.5	67.5	33.6	88.2
48	39	148.5	71.25	34.6	89.8
49	35	135.75	68.5	32.8	92.3
50	37	127.5	66.75	34	83.4
51	37	158.25	72.25	34.9	90.2
52	30	139.25	69	34.3	89.2
53	31	137.25	67.75	36.5	89.7
54	39	152.75	73.5	35.1	93.3
55	32	136.25	67.5	37.8	87.6
56	34	198	72	39.9	107.6
57	38	181.5	68	39.1	100
58	32	201.25	69.5	40.5	111.5
59	34	202.5	70.75	40.5	115.4
60	40	179.75	65.75	38.4	104.8