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.
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.
Monte Carlo equity stress model for BP under Hormuz and Red Sea disruption scenarios.
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)
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.
Scenario and Monte Carlo model comparing Shell and Cheniere under global LNG supply disruption.
AI-Driven Energy Supply Chain Resilience — ET AI Hackathon 2.0
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
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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