Twenty nine years of physical supply, demand, storage, and generation actual data. Plus, eight interconnected forecast models estimate supply, demand, and storage forces that tip the balance of the U.S. natural gas market.
SASEA has a deep knowledge base across natural gas, coal, nuclear, solar, wind, and pipeline infrastructure. In addition, SASEA taps into decades of physical supply, demand, storage, and generation data — all queryable through natural conversation.
Ask anything in any context and get factual, logical answers with contextual analysis in ~25 seconds or less.
DATA COVERAGE
15 live data sources · 88+ database tables · 800K+ pre-computed metrics always ready · 29 years of historical depth
A suite of walk-forward validated models forecasting every component of natural gas supply, demand, and storage 24 months forward. Each model refreshes daily with live data — zero human intervention.
Experiment with your own assumptions directly in chat, or (with Desk and Team mode) upload the SASEA BRAIN™ Balance Report workbook — SASEA backfills latest actuals and populates forward months with the most recent forecasts.
MODEL SUITE
30+ automated fetch + refresh workflows · Numerical Weather Prediction (NWP) refresh 6x/day · 4 NWP forecast models · 5-region bottom-up storage stack
Gas-intensity and population-weighted HDD/CDD across 9 Census Divisions with NWP forecasts from 7 numerical weather models and econometric demand modeling.
R² = 0.957
Model Accuracy
CONUS HDD/CDD, implied gas demand (Bcf/d)
Headline Metric
US natural gas production tracking with rig-based forecasts, DPR basin breakdowns, and STEO-calibrated 24-month forward outlook.
MAE = 2.07 pp (Phase 2)
Model Accuracy
US dry gas production (Bcf/d)
Headline Metric
Mexico pipeline and LNG trade flows with multi-model regression forecasts and terminal-level detail for the operational US LNG export fleet.
R² = 0.60–0.96 by route
Model Accuracy
Pipeline + LNG trade flows (Bcf/d)
Headline Metric
Six non-electric demand sectors — Residential, Commercial, Industrial, Vehicle, Lease & Plant, Pipeline — with weather-normalized HDD/CDD regression forecasts.
R² = 0.76–0.99 by sector
Model Accuracy
Res/Com/Ind demand (Bcf/d)
Headline Metric
Gas-for-power dispatch modeling — the largest and most volatile demand sector (~35% of total). Merit-order dispatch engine across 17 US balancing authorities with 18,000+ generators, per-ISO regional weather, and vintage-adjusted heat rates.
R² = 0.954
Model Accuracy
Gas-fired power burn by ISO (Bcf/d)
Headline Metric
95 nuclear reactors tracked daily via NRC, plus wind and solar capacity growth — quantifying gas displacement from non-gas generation changes.
R² = 0.68–0.997
Model Accuracy
Nuclear capacity factor, renewable displacement (Bcf/d)
Headline Metric
Weekly EIA storage tracking with the V17 national storage model (566 features, 10-year lookback), NWP-driven live forecasts, end-of-season projections, and Monte Carlo confidence intervals.
RMSE = 3.44 Bcf | 100% directional
Model Accuracy
Weekly storage change forecast (Bcf)
Headline Metric
The SASEA BRAIN™ — synthesizes all seven fundamentals models
Integrates all seven supply and demand models into a complete monthly supply/demand balance with 24-month forward outlook. The only AI-powered integrated NG S&D balance available.
Integrates all components
Model Accuracy
Total supply vs total demand balance (Bcf/d)
Headline Metric
8 integrated forecast models. Live API connections. AI-powered updates.
$99/mo
Pro tier. Starter tier available from $49/mo.