فهرست نشریات علمی دسترسی آزاد ایران

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.