| Title: | Optimised power generation system by the SWAT and artificial neural network based on improved farmland fertility optimisation (IFFO) algorithm |
| Authors: | Zhang, C.-S., X.-G. Hu and N. Zafetti |
| Year: | 2021 |
| Journal: | International Journal of Ambient Energy |
| Volume (Issue): | |
| Pages: | |
| Article ID: | |
| DOI: | 10.1080/01430750.2021.1918244 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | hydropower assessment |
| Secondary Application Category: | model and/or data comparison |
| Watershed Description: | 1,343.6 km^2 Pars Abad City drainage area, which is the northernmost city of Ardabil Province in northwest Iran. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | The authors refer to the SWAT-MLP-IFFO model in the abstract and in the Section 2.7.2 header, but this refers to linking different modeling system components together rather than any modifications to SWAT. |
| Language: | English |
| Keywords: | Hydropower plants; the hydrological model; multi-layer perceptron networks; GIS method; improved farmland fertility; optimisation algorithm |