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multi-site stochastic time series generator
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generator of correlated random variables
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Publication Links
Automated real-time reservoir operation based on runoff forecast and mathematical optimization: current state-of-the-art with a case study in India, ICOLD 2025 China, conference proceedings
A benchmark test problem for reservoir simulation models and comparison of their results
Practical applicability of mathematical optimization for reservoir operation for river basin management: a review
Use of mathematical optimization to construct optimal reservoir operating rules with a case study
Advances in using mathematical optimization to manage floods with assessment of possible benefits using a case study
Dynamic Reservoir Rule Curves - Their Creation and Utilization
The Battle of River Basin Models: the Narmada River Basin challenge
WEB.BM – a web-based river basin management model with multiple time-step optimization and the SSARR channel routing options
Kernel distributed residual function in a revised multiple order autoregressive model and its applications in hydrology
An effective three-step algorithm for multi-site generation of stochastic weekly hydrological time series
Improving real-time reservoir operation based on combining demand hedging and simple storage management rules
A matching algorithm for generation of statistically dependent random variables with arbitrary marginals
Importance of multiple time step optimization in river basin planning and management: a case study of Damodar River basin in India
Limitations of Network Flow Algorithms in River Basin Modeling
New modeling paradigms for assessing future irrigation storage requirements: a case study of the Western irrigation district in Alberta
Response by David Yates, Jack Sieber, David Purkey, and Annette Huber‐Lee to Comments by Nesa Ilich on WEAP21 — A Demand‐, Priority‐, and Preference‐Driven Water Planning Model: Part 1”
Shortcomings of linear programming in optimizing river basin allocation