Ermolieva, T., Zagorodny, A., Bogdanov, V., Havlik, P. ORCID: https://orcid.org/0000-0001-5551-5085, Rovenskaya, E.
ORCID: https://orcid.org/0000-0002-2761-3443, Komendantova, N.
ORCID: https://orcid.org/0000-0003-2568-6179, & Knopov, P.
(2025).
Integrated Solutions and Distributed Models’ Linkage Procedures for Food–Energy–Water–Environmental Nexus Security Modeling and Management.
In:
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection: Stochastic modeling.
Eds. Gaivoronski, A., Knopov, P., Norkin, V., & Zaslavskyi, V.,
Wiley.
ISBN 978-1-836-69027-6
Abstract
This paper discusses a new modelling approach enabling the linkage of distributed individual food, energy, water optimization models under joint (e.g., water, land) resource constraints, uncertainty, and asymmetric information. The approach is based on an iterative stochastic quasigradeint (SQG) solution procedure of, in general, nonsmooth nondifferentiable optimization. The SQG procedure organizes an iterative computerized negotiation between individual FEW systems (models) representing Intelligent Agents. The convergence of the procedure to the socially optimal solution is based on the results of nondifferentiable optimization providing a new type of machine learning algorithms. The linkage problem can be viewed as a general endogenous reinforced learning problem. The models act as “agents” that communicate with a “central hub” (a regulator) and take decisions in order to maximize the “cumulative reward". In this way, they continue to be the same individual models and different modeling teams do not need to exchange information about their models – instead, they only need to harmonize the inputs and outputs that are part of the joint resource constraints. In this way, the agents link their models into an integrated model under asymmetric information. The convergence of the solution of the linked models to the solution of the hard-integrated model is discussed. Application of the approach is illustrated with a case study linking distributed agricultural, water and energy sector models. The approach can be effectively used for decentralized deregulated planning of interdependent agricultural, energy, water systems.
Item Type: | Book Section |
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Uncontrolled Keywords: | Food-energy-water nexus, distributed models, uncertainty and asymmetric information, integrated modeling, models’ linkage, SQG solution procedure, non-smooth optimization, subgradient, integrated modeling, food-energy-water-environmental nexus |
Research Programs: | Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT) Biodiversity and Natural Resources (BNR) Biodiversity and Natural Resources (BNR) > Integrated Biosphere Futures (IBF) |
Depositing User: | Luke Kirwan |
Date Deposited: | 02 Jun 2025 08:43 |
Last Modified: | 02 Jun 2025 08:43 |
URI: | https://pure.iiasa.ac.at/20643 |
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