A generic data-driven technique for forecasting of reservoir inflow: Application for hydropower maximization

Author:

Ahmad Shahryar Khalique,Hossain Faisal

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference74 articles.

1. Dynamic reservoir operations based on short-term weather forecasts for maximization of hydropower;Ahmad;Journal of Renewable Energy,2018

2. River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin;Akhtar;Hydrol. Earth Syst. Sci.,2009

3. Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models;Anctil;Environ. Model. Softw,2004

4. Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments;Anghileri;Water Resour. Res.,2016

5. Artificial neural networks in hydrology. II: hydrologic applications;ASCE Task Committee on Application of Artificial Neural Networks in Hydrology;J. Hydrol. Eng.,2000

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