SWAT Literature Database for Peer-Reviewed Journal Articles

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