A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information | Deep Literature

A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information

Stochastic Environmental Research and Risk Assessment (2021)

Di Tian Xiaogang He Puneet Srivastava Latif Kalin

38

Citation

96

Reference

10

Related Paper

Citation Trend

Keywords:

Inflow

Gradient boosting

Hydrological modelling

Topics:

Hydrological Forecasting Using AI

Hydrology and Watershed Management Studies

Flood Risk Assessment and Management

10.1007/s00477-021-02023-y

Cite

Application of inflow control devices to heterogeneous reservoirs

Journal of Petroleum Science and Engineering (2011)

V.M. Birchenko A. Iu. Bejan Alexandr Usnich David Davies

Inflow

10.1016/j.petrol.2011.06.022

Cite

Citations (32)