AI Energy Resilience Command Twin for India | ET AI Hackathon 2026
Ontology-driven strategic intelligence platform for geopolitical risk assessment, energy security analysis, and Common Operational Picture (COP) generation.
Monte Carlo equity stress model for BP under Hormuz and Red Sea disruption scenarios.
Energy-as-a-Service Financing for Gas-Constrained Power Systems: Optimising Nigeria's NDC 3.0 Investment Pathway.National-Scale Techno-Economic Optimization of Hybrid Gas–Solar Systems Under Reservoir Decline and Energy-as-a-Service (EaaS) Deployment Scenarios — A Stochastic Multi-Objective Modeling Framework
A live-data and Monte Carlo model for oil-supply resilience during a prolonged Strait of Hormuz disruption.
Interactive visualization of Russian fuel crisis data: refinery strikes, Google Trends search interest, and energy market analysis.
AI command center for India's import-dependent energy security: grade-aware crude reroute optimization on real customs data, a glass-box economic + twin-deficit cascade, live GDELT/AIS early-warning signals, a multi-commodity vulnerability lens, and a 3D-globe war-room. ET AI Hackathon 2026 · Problem #2.
Auditable EU supply & system risk monitor. Energy + Industry + Food cascade model. Official public data only. Static HTML dashboard.
An interactive sandbox exploring the evolution of Asian carbon markets and climate geopolitics (1997-2060)
AI-Driven Energy Supply Chain Resilience — ET AI Hackathon 2.0
Scenario and Monte Carlo model comparing Shell and Cheniere under global LNG supply disruption.
ホルムズ海峡の地政学的重要性を地図とデータで解説する専門メディア。日本のエネルギー安全保障、中東情勢、石油タンカールート、シーレーン分析を毎日更新。
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