[HTML][HTML] Forecasting: theory and practice

F Petropoulos, D Apiletti, V Assimakopoulos… - International Journal of …, 2022 - Elsevier
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Comprehensive overview of flood modeling approaches: A review of recent advances

V Kumar, KV Sharma, T Caloiero, DJ Mehta, K Singh - Hydrology, 2023 - mdpi.com
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …

MGB-IPH model for hydrological and hydraulic simulation of large floodplain river systems coupled with open source GIS

PRM Pontes, FM Fan, AS Fleischmann… - … Modelling & Software, 2017 - Elsevier
Large-scale hydrological models are useful tools for water resources studies, however, river
network flow routing is generally represented using simplified methods, which may lead to …

[HTML][HTML] Beyond engineering: A review of reservoir management through the lens of wickedness, competing objectives and uncertainty

W Wu, L Eamen, G Dandy, S Razavi, G Kuczera… - … Modelling & Software, 2023 - Elsevier
Traditionally, reservoir management has been synonymous with the operation of
engineering infrastructure systems, with the majority of literature on the topic focusing on …

The sensitivity of simulated streamflow to individual hydrologic processes across North America

J Mai, JR Craig, BA Tolson, R Arsenault - Nature communications, 2022 - nature.com
Streamflow sensitivity to different hydrologic processes varies in both space and time. This
sensitivity is traditionally evaluated for the parameters specific to a given hydrologic model …

Robust model predictive control of irrigation systems with active uncertainty learning and data analytics

C Shang, WH Chen, AD Stroock… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
We develop a novel data-driven robust model predictive control (DDRMPC) approach for
automatic control of irrigation systems. The fundamental idea is to integrate both mechanistic …

Hydropower operation optimization using machine learning: A systematic review

J Bernardes Jr, M Santos, T Abreu, L Prado Jr… - AI, 2022 - mdpi.com
The optimal dispatch of hydropower plants consists of the challenge of taking advantage of
both available head and river flows. Despite the objective of delivering the maximum power …

State-of-the-art review: Operation of multi-purpose reservoirs during flood season

SK Jain, LS Shilpa, D Rani, KP Sudheer - Journal of Hydrology, 2023 - Elsevier
Operation of multipurpose reservoirs during flood season is a challenging task if there is a
conflict among the purposes. Despite the importance of this theme in water resources …

Stochastic short-term hydropower planning with inflow scenario trees

S Séguin, SE Fleten, P Côté, A Pichler… - European Journal of …, 2017 - Elsevier
This paper presents an optimization approach to solve the short-term hydropower unit
commitment and loading problem with uncertain inflows. A scenario tree is built based on a …

[HTML][HTML] Development of an optimization/simulation model for real-time flood-control operation of river-reservoirs systems

D Che, LW Mays - Water resources management, 2015 - Springer
Real-time optimal operation models for river-reservoir systems, unfortunately, are not widely
available. Such models are still in their infancy perhaps due to the complexity of the …