Disciplines

⚡ Energy Intelligence (ENERGYINT)

🔌 Sources for Energy Intelligence (2)

🎯 Mission Domains served

🎫 Data Points

🔍 Lookup

📊 Pre-built Queries · Energy Intelligence

📜 Playbook — Energy Intelligence collection

1. Direction — frame the requirement for Energy Intelligence: what decision does this support, by when?
2. Collection — collect from the 2 mapped sources (0 free) — filter the catalog by ENERGYINT; capture provenance and observe OPSEC.
3. Processing — normalize, de-duplicate and enrich the collected data.
4. Analysis — correlate against local holdings; apply ACH; assign confidence.
5. Dissemination — open a case, draft a report, share via STIX/MISP.
6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🗃 Data Management

🧩 Advanced Capabilities

🔗 Pivot to related disciplines

✨ Enrichment pathways

🎯 Mission

ENERGYINT monitors energy production, transmission, storage, and markets to assess supply security, infrastructure status, and geopolitical leverage. It answers what the state of supply and demand is, whether key facilities are operating, and how flows and prices are shifting.

📡 Collection methods

• Power-grid frequency, load, and generation-mix monitoring from transparency platforms
• Thermal and optical satellite detection of plant activity, gas flaring, and thermal anomalies
• Oil and gas storage estimation from floating-roof tank shadows in satellite imagery
• AIS tracking of crude tankers and LNG carriers to infer flows and diversions
• Pipeline throughput and outage monitoring from operator nomination data
• Energy market price and supply-disruption telemetry correlation

📚 Key sources & datasets

🎫 Data points produced

🔧 Tools & frameworks

• QGIS
• Google Earth Engine
• Sentinel Hub
• ESA SNAP
• Kepler.gl
• pandas

📜 Energy Intelligence Tradecraft

1. Collect: pull grid telemetry, satellite tiles, and AIS tracks for target assets
2. Process: georeference imagery and derive tank-fill, flaring, and thermal indicators
3. Analyze: estimate output, storage, and flow change versus historical baseline
4. Attribute: tie facilities to operators, owners, and downstream market impact
5. Disseminate: issue an energy-status report with maps and quantified estimates
6. Action: alert on outages, supply disruptions, or sanction-relevant cargo flows

📊 Dashboard KPIs

🔍 Pre-built queries

🔗 Cross-discipline pivots

🗃 Data Management

🧩 Advanced Capabilities