International Journal of Engineering

International Journal of Engineering

Intelligent Energy Systems: A Russia-Iran Alliance in the Era of AI and Sustainable Development

Document Type : Special Issue on FPP

Authors
I. V. Skvortsova 1
A. B. Teslya 1
A. G. Somov 1
T. B. Ezirbaev 2
E. А. Samylovskaya 3
1 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation
2 Grozny State Oil Technical University named after Academician M.D. Millionshchikov, Grozny, Russian Federation
3 Empress Catherine II Saint Petersburg Mining University, St. Petersburg, Russian Federation
10.5829/ije.2026.39.11b.05
Abstract
This study presents a hybrid AI-driven Decision Support System (DSS) architecture designed to optimize energy generation, distribution, and consumption in the Russia–Iran energy alliance. The system integrates reinforcement learning, multi-agent coordination, and federated data processing across national infrastructures with over 335 GW of combined installed capacity. By simulating real-time operations in diverse environmental conditions—ranging from Russia’s -50°C winters to Iran’s +50°C summers—the DSS demonstrates potential fuel-cost savings of 20–25%, emission reductions exceeding 15 Mt CO₂ annually, and technical loss reductions across 2.7 million km of transmission lines. Validation was conducted through six cross-border pilot projects, including thermal retrofits, hydrogen production, and smart grid testbeds, ensuring interoperability and strategic alignment under current sanctions. The model's economic viability is supported by projections of $2–3 billion in combined annual savings and 3–5 year payback periods, making it a scalable solution for other BRICS+ economies navigating energy transitions under geopolitical constraints.

Graphical Abstract

Intelligent Energy Systems: A Russia-Iran Alliance in the Era of AI and Sustainable Development
Keywords
AI-based Decision Support System
Multi-agent Systems
Reinforcement Learning
Smart Grid
Energy Efficiency
Sustainable Development

Subjects

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International Journal of Engineering
Volume 39, Issue 11
TRANSACTIONS B: Applications
November 2026
Pages 2712-2725