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. 2026 Apr 10;16:16871. doi: 10.1038/s41598-026-47042-3

Table 2.

Feature-based comparison of solar PV power forecasting methods.

References DL ENS PHY LOW-COMP INTP SAT-FREE STAT
12 ✓ ✗ ✗ ✗ ✗ ✓ ✗
13 ✗ ✗ ✗ ✓ ✓ ✓ ✗
14 ✗ ✓ ✓ ✗ ✓ ✗ ✗
15 ✗ ✓ ✗ ✗ ✗ ✗ ✗
16 ✓ ✗ ✗ ✗ ✗ ✓ ✗
18 ✗ ✗ ✗ ✓ ✓ ✓ ✗
20 ✗ ✓ ✗ ✗ ✓ ✓ ✗
21 ✗ ✓ ✗ ✗ ✗ ✓ ✓
23 ✗ ✓ ✗ ✗ ✗ ✓ ✗
24 ✓ ✓ ✗ ✗ ✗ ✓ ✗
Proposed ✗ ✓ ✗ ✓ ✓ ✓ ✓

*DL- Deep Learning based, ENS-Ensemble / Hybrid, PHY- Physics-informed, LOW-COMP- Low computational complexity, INTP-Interpretable, SAT-FREE-No satellite dependency, STAT- Statistical significance testing