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 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 |