dc.contributor.author | Sushanth, Kallem | |
dc.date.accessioned | 2024-09-25T05:17:32Z | |
dc.date.available | 2024-09-25T05:17:32Z | |
dc.date.issued | 2024-01 | |
dc.identifier.govdoc | NB18277 | |
dc.identifier.uri | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/15243 | |
dc.language.iso | en | en_US |
dc.publisher | IIT Kharagpur | en_US |
dc.subject | Bias Correction | en_US |
dc.subject | GFS Forecasts | en_US |
dc.subject | Irrigation Demand | en_US |
dc.subject | LSTM Model | en_US |
dc.subject | Reservoir Module | en_US |
dc.title | Effective Water Resources Management in a Reservoir-Regulated River Basin – A Novel Approach Using Distributed Hydrological Modelling and Machine Learning | en_US |
dc.type | Thesis | en_US |