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Dimitri P. Solomatine
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Journal Articles

Balancing operator’s risk averseness in model predictive control for real-time reservoir flood control

Open Access
Ja-Ho Koo, Edo Abraham, Andreja Jonoski, Dimitri P. Solomatine
Journal of Hydroinformatics (2025) 27 (4): 601–624.
DOI: https://doi.org/10.2166/hydro.2025.019
Date Online: 13 March 2025
View articletitled, Balancing operator’s risk averseness in model predictive control for real-time reservoir flood control View PDF for article titled, Balancing operator’s risk averseness in model predictive control for real-time reservoir flood control
Includes: Supplementary data
Journal Articles

Approach to robust multi-objective optimization and probabilistic analysis: the ROPAR algorithm

Open Access
Oscar O. Marquez-Calvo, Dimitri P. Solomatine
Journal of Hydroinformatics (2019) 21 (3): 427–440.
DOI: https://doi.org/10.2166/hydro.2019.095
Date Online: 01 March 2019
FIGURES | View All (4)
View articletitled, Approach to robust multi-objective optimization and probabilistic analysis: the ROPAR algorithm View PDF for article titled, Approach to robust multi-objective optimization and probabilistic analysis: the ROPAR algorithm
Includes: Supplementary data
Journal Articles

Semi-seasonal groundwater forecast using multiple data-driven models in an irrigated cropland

Free
Alessandro Amaranto, Francisco Munoz-Arriola, Gerald Corzo, Dimitri P. Solomatine, George Meyer
Journal of Hydroinformatics (2018) 20 (6): 1227–1246.
DOI: https://doi.org/10.2166/hydro.2018.002
Date Online: 17 May 2018
FIGURES | View All (9)
View articletitled, Semi-seasonal groundwater forecast using multiple data-driven models in an irrigated cropland View PDF for article titled, Semi-seasonal groundwater forecast using multiple data-driven models in an irrigated cropland
Journal Articles

A novel nested stochastic dynamic programming (nSDP) and nested reinforcement learning (nRL) algorithm for multipurpose reservoir optimization

Free
Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine
Journal of Hydroinformatics (2017) 19 (1): 47–61.
DOI: https://doi.org/10.2166/hydro.2016.243
Date Online: 17 September 2016
View articletitled, A novel nested stochastic dynamic programming (nSDP) and nested reinforcement learning (nRL) algorithm for multipurpose reservoir optimization View PDF for article titled, A novel nested stochastic dynamic programming (nSDP) and nested reinforcement learning (nRL) algorithm for multipurpose reservoir optimization
Journal Articles

A novel nested dynamic programming (nDP) algorithm for multipurpose reservoir optimization

Free
Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine
Journal of Hydroinformatics (2015) 17 (4): 570–583.
DOI: https://doi.org/10.2166/hydro.2015.066
Date Online: 11 February 2015
FIGURES | View All (10)
View articletitled, A novel nested dynamic programming (nDP) algorithm for multipurpose reservoir optimization View PDF for article titled, A novel nested dynamic programming (nDP) algorithm for multipurpose reservoir optimization
Journal Articles

Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty

Free
Kun Yan, Giuliano Di Baldassarre, Dimitri P. Solomatine
Journal of Hydroinformatics (2013) 15 (3): 849–861.
DOI: https://doi.org/10.2166/hydro.2013.137
Date Online: 29 January 2013
View articletitled, Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty View PDF for article titled, Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty
Journal Articles

Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea

Free
Nahm-Chung Jung, Ioana Popescu, Peter Kelderman, Dimitri P. Solomatine, Roland K. Price
Journal of Hydroinformatics (2010) 12 (3): 262–274.
DOI: https://doi.org/10.2166/hydro.2009.004
Date Online: 21 November 2009
View articletitled, Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea View PDF for article titled, Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea
Journal Articles

Data-driven modelling: some past experiences and new approaches

Free
Dimitri P. Solomatine, Avi Ostfeld
Journal of Hydroinformatics (2008) 10 (1): 3–22.
DOI: https://doi.org/10.2166/hydro.2008.015
Date Online: 01 January 2008
View articletitled, Data-driven modelling: some past experiences and new approaches View PDF for article titled, Data-driven modelling: some past experiences and new approaches
Journal Articles

Prologue: special issue on data driven modeling and evolutionary optimization for river basin management

Free
Avi Ostfeld, Dimitri P. Solomatine
Journal of Hydroinformatics (2008) 10 (1): 1.
DOI: https://doi.org/10.2166/hydro.2007.018
Date Online: 01 January 2008
View articletitled, Prologue: special issue on data driven modeling and evolutionary optimization for river basin management View PDF for article titled, Prologue: special issue on data driven modeling and evolutionary optimization for river basin management
Journal Articles

Distributed environmental impact assessment using Internet

Free
Huang Yan, Dimitri P. Solomatine, Slavco Velickov, Michael B. Abbott
Journal of Hydroinformatics (1999) 1 (1): 59–70.
DOI: https://doi.org/10.2166/hydro.1999.0005
Date Online: 01 July 1999
View articletitled, Distributed environmental impact assessment using Internet View PDF for article titled, Distributed environmental impact assessment using Internet