Table 4.
Pros and cons of methodologies.
| Serial No: | Methodology | Pros | Cons |
|---|---|---|---|
| 1. | Empirical Methods | ||
| a. SSM | Greater accuracy | Data is easily unavailable as most meteorological stations don't have Sunshine hours recording facility. | |
| b. MSSM | Best Accuracy among Empirical Models | Data is easily unavailable as most meteorological stations don't have Sunshine hours recording facility. | |
| c. NSM | The data is readily available as most stations record the required climatic parameters. | Have lower accuracy than MSSM and NSM | |
| 2. | AI Methods | ||
| a. Single AI models | Easy to develop models as they don't require sophisticated programming knowledge. | Has accuracy lower than Hybrid models | |
| b. Hybrid AI Models | Accuracy higher than Single AI models | Has the best accuracy among all methods. | |