Research Article
Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach
Table 1
Data used in training the neural network.
| | Attributes | Subattributes | Class good | Class fair | Class poor |
| | Air quality | SO2 (µg/m3) | | | | | NO2 (µg/m3) | | | | | PM2.5 (µg/m3) | | | | | PM10 (µg/m3) | | | |
| | Water quality | Ph | | | | | DO (mg/l) | | | | | BOD (mg/l) | | | | | Electrical conductivity (µmhos/cm) | | | |
| | Cost of energy delivery | Cost/MW (Cr) | | | | | Tariff rate (Rupee) | | | | | Construction period/100 MW (Yr) | | | |
| | Hostile population | Family affected/100 MW (numbers) | | | | | Social acceptance (score) | | | | | Seismicity (score) | | | |
| | Ecological | Endangered species presence (score) | | | | | Medicinal plant presence (count) | | | | | Presence of national park/reserved area (within KM) | | | | | Land required (ha)/MW | | | | | Land submerged (ha) | | | |
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