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Journal articles on the topic 'Multi-reservoir Systems'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Archibald, T. W., C. S. Buchanan, L. C. Thomas, and K. I. M. McKinnon. "Controlling multi-reservoir systems." European Journal of Operational Research 129, no. 3 (2001): 619–26. http://dx.doi.org/10.1016/s0377-2217(99)00450-6.

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2

Alsukni, Emad, Omar Suleiman Arabeyyat, Mohammed A. Awadallah, Laaly Alsamarraie, Iyad Abu-Doush та Mohammed Azmi Al-Betar. "Multiple-Reservoir Scheduling Using β-Hill Climbing Algorithm". Journal of Intelligent Systems 28, № 4 (2019): 559–70. http://dx.doi.org/10.1515/jisys-2017-0159.

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Abstract The multi-reservoir systems optimization problem requires defining a set of rules to recognize the water amount stored and released in accordance with the system constraints. Traditional methods are not suitable for complex multi-reservoir systems with high dimensionality. Recently, metaheuristic-based algorithms such as evolutionary algorithms and local search-based algorithms are successfully used to solve the multi-reservoir systems. β-hill climbing is a recent metaheuristic local search-based algorithm. In this paper, the multi-reservoir systems optimization problem is tackled usi

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3

Brandão, Joao Luiz B. "Performance of the Equivalent Reservoir Modelling Technique for Multi-Reservoir Hydropower Systems." Water Resources Management 24, no. 12 (2010): 3101–14. http://dx.doi.org/10.1007/s11269-010-9597-9.

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4

Mariotte, Guilhem, and Ludovic Leclercq. "Flow exchanges in multi-reservoir systems with spillbacks." Transportation Research Part B: Methodological 122 (April 2019): 327–49. http://dx.doi.org/10.1016/j.trb.2019.02.014.

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5

Huseby, Arne Bang, and Nils F. Haavardsson. "Multi-reservoir production optimization." European Journal of Operational Research 199, no. 1 (2009): 236–51. http://dx.doi.org/10.1016/j.ejor.2008.11.023.

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6

Tavakoli, S. Kamyar, and André Longtin. "Signal demixing using multi-delay multi-layer reservoir computing." PLOS Complex Systems 2, no. 2 (2025): e0000034. https://doi.org/10.1371/journal.pcsy.0000034.

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Brain circuitry involves a large number of recurrent feedback loops whose dynamics depend on interaction delays. Brain-inspired reservoir computing leverages the rich recurrent dynamics of interconnected units for performing tasks on inputs. In particular, time-delay reservoir computing uses the high-dimensional transient dynamics in nonlinear delayed feedback loop architectures for e.g. time series prediction and speech classification. The modification of the dynamical properties of delay-differential systems through the inclusion of multiple delays has also recently been shown to improve the

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7

Afshar, Mohammad Hadi, and Reza Hajiabadi. "Application of Cellular Automata in Bi-Objective Operation of Multi Reservoir Systems." Water 13, no. 19 (2021): 2740. http://dx.doi.org/10.3390/w13192740.

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Optimal operation of multi-reservoir systems is one the most challenging problems in water resource management due to their multi-objective nature and time-consuming solving process. In this paper, Multi-Reservoir Parallel Cellular Automata-Simulated Annealing (MPCA-SA), a hybrid method based on cellular automata and simulated annealing is presented for solving bi-objective operations of multi-reservoir systems problems. The problem considers the bi-objective operation of a multi-reservoir system with the two conflicting objectives of water supply and hydropower generation. The MPCA-SA method

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8

Afshar, Abbas, Mahyar Shafii, and Omid Bozorg Haddad. "Optimizing multi-reservoir operation rules: an improved HBMO approach." Journal of Hydroinformatics 13, no. 1 (2010): 121–39. http://dx.doi.org/10.2166/hydro.2010.061.

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We present an improved version of Honey Bees Mating Optimization (HBMO) algorithm to develop operating rules for multi-reservoir systems. The performance of the proposed model is tested through sensitivity analysis and comparing the result with those of a real-coded Genetic Algorithm (GA) for a 60-month period single-reservoir operation problem. The improved model is subsequently employed to derive release rule and storage balancing functions which form operating policy for a multi-reservoir system along two case examples: (i) water supply and (ii) hydropower generation. The obtained operating

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9

Mousavi, Hirad, and A. S. Ramamurthy. "Optimal design of multi-reservoir systems for water supply." Advances in Water Resources 23, no. 6 (2000): 613–24. http://dx.doi.org/10.1016/s0309-1708(99)00053-6.

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10

Amado, Sergio M., and Celso C. Ribeiro. "Short-Term Generation Scheduling of Hydraulic Multi-Reservoir Multi-Area Interconnected Systems." IEEE Power Engineering Review PER-7, no. 8 (1987): 53–54. http://dx.doi.org/10.1109/mper.1987.5527068.

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11

Amado, Sergio M., and Celso C. Ribeiro. "Short-Term Generation Scheduling of Hydraulic Multi-Reservoir Multi-Area Interconnected Systems." IEEE Transactions on Power Systems 2, no. 3 (1987): 758–63. http://dx.doi.org/10.1109/tpwrs.1987.4335206.

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12

Li, Jieyu, Ping-an Zhong, Yuanjian Wang, et al. "Dynamic Self-Adaptive Modeling for Real-Time Flood Control Operation of Multi-Reservoir Systems." Water 14, no. 22 (2022): 3740. http://dx.doi.org/10.3390/w14223740.

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In the real-time flood control operation of multi-reservoir systems, it is of great significance to establish a dynamic operating system with high efficiency based on the spatiotemporal variation of flood control situations. This paper proposes a self-adaptive modeling framework for real-time flood control operation of multi-reservoirs based on the cyber–physical system (CPS) theory. Firstly, the random flood samples considering the randomness of both space and magnitude are generated, and then the multi-reservoir real-time flood control hybrid operation (MRFCHO) model is established based on

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13

Shashikant, Verma, Ramgopal T. Sahu, A. D. Prasad, and Mani Kant Verma. "Development of an optimal operating policy of multi-reservoir systems in Mahanadi Reservoir Project Complex, Chhattisgarh." Journal of Physics: Conference Series 2273, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2273/1/012020.

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Abstract Real-world optimization problems are usually non-linear and solving nonlinear problems requires time. Hence heuristic techniques are frequently used. Simulated annealing (SA) is one of the most commonly used heuristic algorithms. SA is useful in the narrow search area. In the present study, simulated annealing has been developed to derive the optimal for multi-reservoir systems. Problem statement: In respect of water release, multi-reservoir system in Mahanadi Reservoir Project is an example of such a complex system, therefore the optimum operation of such a reservoir is one of the co

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14

Shashikant, Verma, Ramgopal T. Sahu, A. D. Prasad, and Mani Kant Verma. "Development of an optimal operating policy of multi-reservoir systems in Mahanadi Reservoir Project Complex, Chhattisgarh." Journal of Physics: Conference Series 2273, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2273/1/012020.

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Abstract Real-world optimization problems are usually non-linear and solving nonlinear problems requires time. Hence heuristic techniques are frequently used. Simulated annealing (SA) is one of the most commonly used heuristic algorithms. SA is useful in the narrow search area. In the present study, simulated annealing has been developed to derive the optimal for multi-reservoir systems. Problem statement: In respect of water release, multi-reservoir system in Mahanadi Reservoir Project is an example of such a complex system, therefore the optimum operation of such a reservoir is one of the co

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15

Moeini, R., and M. H. Afshar. "Extension of the constrained ant colony optimization algorithms for the optimal operation of multi-reservoir systems." Journal of Hydroinformatics 15, no. 1 (2012): 155–73. http://dx.doi.org/10.2166/hydro.2012.081.

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This paper extends the application of Constrained Ant Colony Optimization Algorithms (CACOAs) to optimal operation of multi-reservoir systems. Three different formulations of the constrained Ant Colony Optimization (ACO) are outlined here using Max-Min Ant System for the solution of multi-reservoir operation problems. In the first two versions, called Partially Constrained ACO algorithms, the constraints of the multi-reservoir operation problems are satisfied partially. In the third formulation, all the constraints of the underlying problem are implicitly satisfied by the provision of tabu lis

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16

Khakzad. "Applying Simulated Annealing For Optimal Operation of Multi-Reservoir Systems." American Journal of Engineering and Applied Sciences 2, no. 1 (2009): 80–87. http://dx.doi.org/10.3844/ajeas.2009.80.87.

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17

Ali. "Applying Simulated Annealing For Optimal Operation of Multi-Reservoir Systems." American Journal of Engineering and Applied Sciences 2, no. 1 (2009): 80–87. http://dx.doi.org/10.3844/ajeassp.2009.80.87.

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18

Huang, Linghui, Chengshun Xu, Jialin Xu, and Kamran Iqbal. "Production efficiency analysis in hydrate reservoir under multi-well systems." Energy Reports 8 (November 2022): 642–49. http://dx.doi.org/10.1016/j.egyr.2022.10.170.

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19

Dessalegne, Tibebe, and John W. Nicklow. "Artificial Life Algorithm for Management of Multi-reservoir River Systems." Water Resources Management 26, no. 5 (2012): 1125–41. http://dx.doi.org/10.1007/s11269-011-9950-7.

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20

Ashrafi, Seyed Mohammad, and Alireza Borhani Dariane. "Coupled Operating Rules for Optimal Operation of Multi-Reservoir Systems." Water Resources Management 31, no. 14 (2017): 4505–20. http://dx.doi.org/10.1007/s11269-017-1762-y.

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21

Rötz, Alexander, and Stephan Theobald. "Model-Based Operation of Multi-Purpose River and Reservoir Systems." Water Resources Management 33, no. 15 (2019): 4969–82. http://dx.doi.org/10.1007/s11269-019-02344-2.

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22

Cestari, Raffaele Giuseppe, Andrea Castelletti, and Simone Formentin. "Non-linear multi-objective Bayesian MPC of water reservoir systems." European Journal of Control 83 (May 2025): 101205. https://doi.org/10.1016/j.ejcon.2025.101205.

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23

Chu, J. G., C. Zhang, G. T. Fu, Y. Li, and H. C. Zhou. "Improving multi-objective reservoir operation optimization with sensitivity-informed problem decomposition." Hydrology and Earth System Sciences Discussions 12, no. 4 (2015): 3719–52. http://dx.doi.org/10.5194/hessd-12-3719-2015.

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Abstract. This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses global sensitivity analysis as a screening tool to reduce the computational demands. Sobol's method is used to screen insensitive decision variables and guide the formulation of the optimization problems with a significantly reduced number of decision variables. This sensitivity-informed problem decomposition dramatically reduces the computational demands required for attaining high quality approximations of optimal tradeoff relationships between c

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24

Ignjatović, Lazar, Milan Stojković, Damjan Ivetić, Miloš Milašinović, and Nikola Milivojević. "Quantifying Multi-Parameter Dynamic Resilience for Complex Reservoir Systems Using Failure Simulations: Case Study of the Pirot Reservoir System." Water 13, no. 22 (2021): 3157. http://dx.doi.org/10.3390/w13223157.

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The objective of this research is to introduce a novel framework to quantify the risk of the reservoir system outside the design envelope, taking into account the risks related to flood-protection and hydro-energy generation under unfavourable reservoir element conditions (system element failures) and hazardous situations within the environment (flood event). To analyze water system behavior in adverse conditions, a system analysis approach is used, which is founded upon the system dynamics model with a causal loop. The capability of the system in performing the intended functionality can be q

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25

Lerma, Néstor, Javier Paredes-Arquiola, Jose-Luis Molina, and Joaquín Andreu. "Evolutionary network flow models for obtaining operation rules in multi-reservoir water systems." Journal of Hydroinformatics 16, no. 1 (2013): 33–49. http://dx.doi.org/10.2166/hydro.2013.151.

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Obtaining operation rules (OR) for multi-reservoir water systems through optimization and simulation processes has been an intensely studied topic. However, an innovative approach for the integration of two approaches – network flow simulation models and evolutionary multi-objective optimization (EMO) – is proposed for obtaining the operation rules for integrated water resource management (IWRM). This paper demonstrates a methodology based on the coupling of an EMO algorithm (NSGA-II or Non-dominated Sorting Genetic Algorithm) with an existing water resources allocation simulation network flow

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26

Bozorg-Haddad, Omid, Ali Azarnivand, Seyed-Mohammad Hosseini-Moghari, and Hugo A. Loáiciga. "Optimal operation of reservoir systems with the symbiotic organisms search (SOS) algorithm." Journal of Hydroinformatics 19, no. 4 (2017): 507–21. http://dx.doi.org/10.2166/hydro.2017.085.

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This work introduces the symbiotic organisms search (SOS) evolutionary algorithm to the optimization of reservoir operation. Unlike the genetic algorithm (GA) and the water cycle algorithm (WCA) the SOS does not require specification of algorithmic parameters. The solution effectiveness of the GA, SOS, and WCA was assessed with a single-reservoir and a multi-reservoir optimization problem. The SOS proved superior to the GA and the WCA in optimizing the objective functions of the two reservoir systems. In the single reservoir problem, with global optimum value of 1.213, the SOS, GA, and WCA det

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27

Chu, J., C. Zhang, G. Fu, Y. Li, and H. Zhou. "Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction." Hydrology and Earth System Sciences 19, no. 8 (2015): 3557–70. http://dx.doi.org/10.5194/hess-19-3557-2015.

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Abstract. This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses global sensitivity analysis as a screening tool to reduce computational demands. Sobol's method is used to screen insensitive decision variables and guide the formulation of the optimization problems with a significantly reduced number of decision variables. This sensitivity-informed method dramatically reduces the computational demands required for attaining high-quality approximations of optimal trade-off relationships between conflicting design

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28

Yong, Zishu, Jingong Zhang, Jihong Li, Baohong Shi, Zhenze Wang, and Feifei Wang. "Study on the Key Factors Controlling Oil Accumulation in a Multi-Source System: A Case Study of the Chang 9 Reservoir in the Triassic Yanchang Formation, Dingbian Area, Ordos Basin, China." Minerals 15, no. 3 (2025): 303. https://doi.org/10.3390/min15030303.

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Reservoir evaluation in multi-source systems is challenging because studies generally follow single-source principles. This limitation has substantially hindered the understanding of reservoir and hydrocarbon accumulation processes in source–reservoir systems. This study examines the Dingbian area of the Ordos Basin, China, and investigates the key factors controlling hydrocarbon accumulation in the Chang 9 reservoir of the Triassic Yanchang Formation within a multi-source system. The study area spans approximately 0.9 × 104 km2. First, by comparing the biological markers in Chang 9 crude oil

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29

Mhiribidi, Delight, Joel Nobert, Webster Gumindoga, and Donald T. Rwasoka. "Optimal water resource allocation modelling in the Lowveld of Zimbabwe." Proceedings of the International Association of Hydrological Sciences 378 (May 29, 2018): 67–72. http://dx.doi.org/10.5194/piahs-378-67-2018.

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Abstract. The management and allocation of water from multi-reservoir systems is complex and thus requires dynamic modelling systems to achieve optimality. A multi-reservoir system in the Southern Lowveld of Zimbabwe is used for irrigation of sugarcane estates that produce sugar for both local and export consumption. The system is burdened with water allocation problems, made worse by decommissioning of dams. Thus the aim of this research was to develop an operating policy model for the Lowveld multi-reservoir system.The Mann Kendall Trend and Wilcoxon Signed-Rank tests were used to assess the

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30

Hooshyar, Milad, S. Jamshid Mousavi, Masoud Mahootchi, and Kumaraswamy Ponnambalam. "Aggregation–Decomposition-Based Multi-Agent Reinforcement Learning for Multi-Reservoir Operations Optimization." Water 12, no. 10 (2020): 2688. http://dx.doi.org/10.3390/w12102688.

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Stochastic dynamic programming (SDP) is a widely-used method for reservoir operations optimization under uncertainty but suffers from the dual curses of dimensionality and modeling. Reinforcement learning (RL), a simulation-based stochastic optimization approach, can nullify the curse of modeling that arises from the need for calculating a very large transition probability matrix. RL mitigates the curse of the dimensionality problem, but cannot solve it completely as it remains computationally intensive in complex multi-reservoir systems. This paper presents a multi-agent RL approach combined

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31

Bakanos, Panagiotis I., and Konstantinos L. Katsifarakis. "Optimizing Current and Future Hydroelectric Energy Production and Water Uses of the Complex Multi-Reservoir System in the Aliakmon River, Greece." Energies 13, no. 24 (2020): 6499. http://dx.doi.org/10.3390/en13246499.

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In this work we study long-term maximization of hydroelectric energy generation from complex multi-purpose reservoir systems, using the reservoir system of the Aliakmon River, Greece, as an application example. This system serves various purposes, like urban water supply, irrigation, hydroelectric energy production, cooling thermoelectric power plants and flood control, while preserving environmental flow. The system operator uses institutional rules for the annual scheduling of the outflows of the 2 largest reservoirs (Ilarion and Polyfyto) for additional safety and smooth distribution of ene

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32

Yang, Cuili, Danlei Wang, Jian Tang, Junfei Qiao, and Wen Yu. "Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization." Information Sciences 652 (January 2024): 119495. http://dx.doi.org/10.1016/j.ins.2023.119495.

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33

Chu, Jinggang, Yu Li, Yong Peng, and Wei Ding. "Developing a joint operation framework for complex multiple reservoir systems." Water Supply 16, no. 1 (2015): 9–16. http://dx.doi.org/10.2166/ws.2015.105.

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This study aims to present a joint operation framework for complex multiple reservoir systems to balance water supply between subsystems and between different stakeholders, and support decisions about water releases from the entire system and individual reservoirs effectively. The framework includes three steps: (1) aggregated virtual reservoirs and various subsystems are established to determine the water releases from the entire system; (2) the common water-supply strategy is identified to determine the water releases from individual reservoirs; and (3) the joint operation problem is solved

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34

Litrico, Xavier, and Vincent Fromion. "REAL-TIME MANAGEMENT OF MULTI-RESERVOIR HYDRAULIC SYSTEMS USING H∞ OPTIMIZATION." IFAC Proceedings Volumes 35, no. 1 (2002): 125–30. http://dx.doi.org/10.3182/20020721-6-es-1901.01411.

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35

Koutsoyiannis, D., A. Efstratiadis, and G. Karavokiros. "A DECISION SUPPORT TOOL FOR THE MANAGEMENT OF MULTI-RESERVOIR SYSTEMS." Journal of the American Water Resources Association 38, no. 4 (2002): 945–58. http://dx.doi.org/10.1111/j.1752-1688.2002.tb05536.x.

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36

Sharif, Mohammed, and Vageesha Shantha V. Swamy. "Development of LINGO-based optimisation model for multi-reservoir systems operation." International Journal of Hydrology Science and Technology 4, no. 2 (2014): 126. http://dx.doi.org/10.1504/ijhst.2014.066440.

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37

Broadbent, Curtis J., Jun Jing, Ting Yu, and Joseph H. Eberly. "Solving non-Markovian open quantum systems with multi-channel reservoir coupling." Annals of Physics 327, no. 8 (2012): 1962–73. http://dx.doi.org/10.1016/j.aop.2012.05.006.

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38

Yazdi, J., and A. Moridi. "Multi-Objective Differential Evolution for Design of Cascade Hydropower Reservoir Systems." Water Resources Management 32, no. 14 (2018): 4779–91. http://dx.doi.org/10.1007/s11269-018-2083-5.

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39

Li, Fangyu, Chaoli Gao, Yanqin Liu, et al. "Integrated multi-scale reservoir data representation and indexing for reservoir data management and characterization." Computers & Geosciences 138 (May 2020): 104433. http://dx.doi.org/10.1016/j.cageo.2020.104433.

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40

Nawaz, N. R., A. J. Adeloye, and M. Montaseri. "The Impact of Climate Change on Storage-Yield Curves for Multi-Reservoir Systems." Hydrology Research 30, no. 2 (1999): 129–46. http://dx.doi.org/10.2166/nh.1999.0007.

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In this paper, we report on the results of an investigation into the impacts of climate change on the storage-yield relationships for two multiple-reservoir systems, one in England and the other in Iran. The impact study uses established protocol and obtains perturbed monthly inflow series using a simple runoff coefficient approach which accounts for non-evaporative losses in the catchment, and a number of recently published GCM-based scenarios. The multi-reservoir analysis is based on the sequent-peak algorithm which has been modified to analyse multiple reservoirs and to accommodate explicit

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41

Daton, Wijoyo Niti, Vincent Chandra, and Steven Chandra. "Completion Design for The Development of a Multi-Layer and Multi Fluid Reservoir Systemin Offshore Well AA-01, North-West Java." Journal of Earth Energy Engineering 10, no. 2 (2021): 101–14. http://dx.doi.org/10.25299/jeee.2021.6606.

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Completion systems are important components of hydrocarbon field development. As the link between the reservoir and surface facilities, completions need to be designed to maximize hydrocarbon recovery and withstand consistently changing conditions for years, within the safety requirements. However, designing completion for a well comprising a multi-layer and multi-fluid reservoir is quite challenging. The completion design must use the right materials and be able to safely produce single, as well as commingle products, and add any artificial lifts, depending on the method with the most optimum

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42

Chaleeraktrakoon, C., and A. Kangrang. "Dynamic programming with the principle of progressive optimality for searching rule curves." Canadian Journal of Civil Engineering 34, no. 2 (2007): 170–76. http://dx.doi.org/10.1139/l06-087.

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Rule curves are monthly reservoir-operation guidelines for meeting the minimum of water shortage over the long run. This paper proposes a dynamic programming (DP) approach for finding the optimal rule curves of single- and multi-reservoir systems. The proposed DP approach uses a traditional DP technique conditionally and applies the principle of progressive optimality (PPO) to search its optimal solutions. The proposed DP–PPO approach is suitable because of the multi-stage, nonlinear, and continuous-type characteristics of the rule curve search. Its dimensionality is relatively small, as compa

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43

Moridi, A., and J. Yazdi. "Optimal Allocation of Flood Control Capacity for Multi-Reservoir Systems Using Multi-Objective Optimization Approach." Water Resources Management 31, no. 14 (2017): 4521–38. http://dx.doi.org/10.1007/s11269-017-1763-x.

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44

Su, Chang, Gang Zhao, Yee-Chung Jin, and Wanju Yuan. "Semi-Analytical Modeling of Geological Features Based Heterogeneous Reservoirs Using the Boundary Element Method." Minerals 12, no. 6 (2022): 663. http://dx.doi.org/10.3390/min12060663.

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The objective of this work is to innovatively apply the boundary element method (BEM) as a general modeling strategy to deal with complicated reservoir modeling problems, especially those related to reservoir heterogeneity and fracture systems, which are common challenges encountered in the practice of reservoir engineering. The transient flow behaviors of reservoirs containing multi-scale heterogeneities enclosed by arbitrarily shaped boundaries are modeled by applying BEM. We demonstrate that a BEM-based simulation strategy is capable of modeling complex heterogeneous reservoirs with robust

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45

Xiao, Peng, Xiaonan Li, Yu Li, et al. "Experimental Technique for Modeling Multi-Field Coupled Transport in Multi-Fracture Geothermal Reservoirs." Energies 18, no. 13 (2025): 3507. https://doi.org/10.3390/en18133507.

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In the operation of enhanced geothermal systems (EGSs), complex physical and chemical coupling processes, which are crucial for the efficient exploitation of geothermal energy, are involved. In situ studies of multi-fracture hot dry rocks (HDRs) face significant challenges, leading to a shortage of experimental data for verifying numerical simulations and supporting experimental techniques. In this paper, a multi-field coupling experimental simulation technique was designed for a multi-fracture geothermal reservoir. This technique enables the experimental investigation of the effects of fractu

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46

Azizipour, Mohamad, Ali Sattari, Mohammad Hadi Afshar, Erfan Goharian, and Samuel Sandoval Solis. "Optimal hydropower operation of multi-reservoir systems: hybrid cellular automata-simulated annealing approach." Journal of Hydroinformatics 22, no. 5 (2020): 1236–57. http://dx.doi.org/10.2166/hydro.2020.168.

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Abstract Hydropower operation of multi-reservoir systems is very difficult to solve mostly due to their nonlinear, nonconvex and large-scale nature. While conventional methods are long known to be incapable of solving these types of problems, evolutionary algorithms are shown to successfully handle the complexity of these problems at the expense of very large computational cost, particularly when population-based methods are used. A novel hybrid cellular automata-simulated annealing (CA-SA) method is proposed in this study which avoids the shortcomings of the existing conventional and evolutio

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47

Fang, Yin, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee, Reza Azarsa, Miklas Scholz, and Zaher Mundher Yaseen. "An accelerated gradient-based optimization development for multi-reservoir hydropower systems optimization." Energy Reports 7 (November 2021): 7854–77. http://dx.doi.org/10.1016/j.egyr.2021.11.010.

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48

Ahmadianfar, Iman, Saeed Noshadian, Nadir Ahmed Elagib, and Meysam Salarijazi. "Robust Diversity-based Sine-Cosine Algorithm for Optimizing Hydropower Multi-reservoir Systems." Water Resources Management 35, no. 11 (2021): 3513–38. http://dx.doi.org/10.1007/s11269-021-02903-6.

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49

Zhang, Yu, Lei Yu, Shiqiang Wu, et al. "A framework for adaptive control of multi-reservoir systems under changing environment." Journal of Cleaner Production 316 (September 2021): 128304. http://dx.doi.org/10.1016/j.jclepro.2021.128304.

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Rozos, Evangelos. "An assessment of the operational freeware management tools for multi-reservoir systems." Water Supply 19, no. 4 (2018): 995–1007. http://dx.doi.org/10.2166/ws.2018.169.

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Abstract:

Abstract Water resources management is one of the most challenging problems of the water sector. The complexity of this problem is mostly attributed to the dynamic nature of the natural hydrosystems, of which the inputs are characterized by stochasticity. The assessment of the impact of alternative decisions on such a system requires a probabilistic approach. It is evident that this is a very demanding task even for a single-reservoir system, not to mention multi-reservoir systems. For this reason, computer codes have been developed since the early 1970s to help with this procedure. Nowadays,

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