Twenty nine years of physical supply, demand, storage, and generation data across gas and power. Plus, eight interconnected forecast models — SASEA's deepest, most mature forecast layer — estimate the 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 model features vs typical ~50, over a 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.
$75/mo
Pro tier. Starter tier available from $25/mo.