Written by: Olivier Lam, Physical AI Team, Jua.ai AG | Last updated: July 6, 2026
Key Takeaways for Power Traders
- The EIA Hourly Electric Grid Monitor provides free, hourly public data on U.S. electricity demand, generation mix, interchange flows, and emissions across all major balancing authorities.
- EIA-930 observations act as the authoritative real-time layer for load positioning, fuel-stack analysis, and cross-border flow monitoring used by power traders.
- Traders can use custom regional views and API access to pull EIA data into day-ahead and intraday strategies for markets such as ERCOT, PJM, and NYISO.
- Jua for Energy layers EPT-2 and EPT-2e physics-constrained forecasts, updated up to 4x daily, on top of EIA observations to close the gap between statistical baselines and actual weather-driven outcomes.
- Benchmark EPT-2 in a live session against your current forecast provider and plug real-time grid intelligence into your trading workflow.
How the EIA 930 Data Feed Powers Trading Decisions
EIA-930 is the mandatory hourly reporting standard under which balancing authorities across the contiguous United States submit electricity demand, generation, and interchange data to the Energy Information Administration. Every balancing authority, from ERCOT and PJM to smaller regional operators, files hourly figures that the EIA aggregates and publishes on the grid monitor dashboard.
The feed is publicly available at no cost. Traders, analysts, and quant developers can access it through the browser dashboard, bulk CSV downloads, or the EIA’s public API. Because EIA-930 covers the full continental U.S. grid, it functions as the authoritative real-time observation layer for any strategy that depends on load, generation, or flow data.
Market participants have used EIA-930 data to document structural demand shifts driven by data-center load growth. The summer peak load in PJM’s Dominion zone reached 23,117.8 MW on July 16, 2024. Winter peaks have also risen substantially in recent years. Those are the numbers a day-ahead position is built on.
For traders: An observed demand spike in EIA-930 data, particularly in a load-dense zone like PJM Dominion, is a positioning signal for the next intraday auction. Pair the spike with a physics-constrained temperature forecast from EPT-2 to decide whether the driver is transient or structural before sizing the position.
Run a live benchmark on the Jua platform to see how EPT-2 forecast accuracy compares against your current provider on the temperature and wind variables that drive your book.
Demand and Forecasts View on the EIA Dashboard
The EIA dashboard organizes raw 930 data into several feature-specific views, starting with demand. The demand view on the EIA Hourly Electric Grid Monitor displays current demand, forecast demand, and other key grid metrics as line charts. Regional aggregations and individual balancing authorities are available, including ERCO (ERCOT), PJM, and NYIS (NYISO).
The EIA’s embedded day-ahead forecast is a statistical baseline. It reflects historical load patterns and does not incorporate a physics-constrained atmospheric model. For traders whose P&L depends on the gap between the EIA forecast and actual outturn, particularly during weather-driven demand ramps, that gap is where the edge lives.
Jua for Energy closes that gap by updating forecasts more frequently than traditional models can. EPT-2e runs at a higher update frequency than most NWP models, which means traders see revised atmospheric inputs before the next EIA hourly observation lands. For tighter intraday positioning, actual-generation power forecasts on the Jua platform refresh every 15 minutes.
For traders: A demand ramp visible in the EIA hourly series, with load rising faster than the embedded forecast, is an intraday signal. The key question is whether the ramp continues into the next operating window. EPT-2’s 2 m temperature forecast answers that before the next NWP run lands, so you can hold, add, or fade the position with more confidence.
Install the Python SDK with pip install jua and pipe EPT-2 temperature and wind forecasts directly into your demand model alongside the EIA-930 feed.
Generation Mix Breakdown for Fuel-Stack Signals
The generation mix view reveals which fuel sources gain or lose share during demand events, which helps predict dispatch economics. Each source is expressed as an hourly percentage of total net generation, so traders can track fuel-stack shifts in near real time.
Wind and solar percentages are the variables most directly linked to atmospheric forecasts. A wind generation ramp, visible in the EIA mix as the wind share rising or falling sharply, is driven by the same 100 m wind field that EPT-2 forecasts natively up to a 5 km resolution over Europe and at global scale for U.S. markets.
For traders: A sudden drop in the wind share of the generation mix, combined with a divergence alert from Jua for Energy flagging model disagreement on 100 m wind, is a congestion signal. The two data streams, EIA observation and EPT-2 forecast, work together to show both what is happening and what comes next.
See live benchmarks on wind forecast accuracy across 25+ models on the Jua platform, including EPT-2, ECMWF HRES, and Microsoft Aurora, on any U.S. or European region.
Interchange and Regional Flows Across Major Markets
The EIA grid monitor displays cross-border flows between the U.S., Canada, and Mexico, as well as inter-balancing-authority flows across the major U.S. markets. Balancing authorities shown include SWPP, MISO, CISO, FPL, BPAT, PJM, DUK, SOCO, ISNE, NYIS, TVA, and ERCO, which together cover the core trading regions. Positive interchange indicates net exports, while negative values indicate net imports.
Flow reversals, where a balancing authority switches from net exporter to net importer within a single operating hour, are among the highest-value signals in intraday power trading. They reflect real-time supply-demand imbalances that price spreads have not yet fully absorbed.
For traders: Congestion trading on inter-BA flows requires knowing not just the current flow direction but the forecast direction, because weather-driven flow reversals are where the spread edge often sits. EPT-2’s wind and temperature forecasts provide the atmospheric input that drives generation dispatch and therefore flow direction in the next operating window, letting you position ahead of the reversal.
See Jua for Energy in a live demo to understand how physics-constrained forecasts layer on top of EIA interchange observations.
Emissions Estimates from the EIA Grid Monitor
The EIA provides CO₂ emissions estimates derived from the generation mix. As the fuel stack shifts, with more gas and less wind or the reverse, the emissions intensity of the grid changes.
For traders: Carbon-aware positioning, such as sizing a gas peaker position against the expected emissions intensity of the grid during a demand spike, requires knowing the generation mix forecast, not just the current observation. EPT-2’s solar radiation and wind forecasts, which directly drive renewable penetration, are the upstream input to any emissions-intensity model.
Athena, Jua’s AI agent instrumented with the Jua for Energy tool surface, can generate a carbon-aware briefing from a natural-language query in approximately 90 seconds.
Custom Regional Views for ERCOT, PJM, and NYISO
The EIA Hourly Electric Grid Monitor allows users to create custom views for a specific balancing authority or regional aggregation. A trader covering ERCOT selects ERCO as the balancing authority filter. A PJM desk selects PJM, and a NYISO desk selects NYIS. The custom view retains the data categories, including demand, generation mix, interchange, and emissions, filtered to the chosen region.
Saved custom views persist across sessions, which makes them suitable for desk-specific monitoring workflows. The EIA dashboard does not, however, layer forecast data on top of observations or alert users when models revise their outputs.
For traders: A custom EIA view for ERCOT or PJM forms the observation layer. Jua for Energy’s Workspaces, customisable dashboards built from reusable widgets and auto-assembled by Athena on a natural-language request, provide the forecast and alert layer on top of it. Both belong in the same morning workflow.
Ask Athena to build a custom workspace for your region and PSR type. A typical widget request resolves in approximately 90 seconds.
Data Download and API Access for Quant Workflows
The EIA Hourly Electric Grid Monitor supports CSV and Excel bulk downloads for all data categories, as well as a public REST API that exposes EIA-930 data programmatically at no cost. The API is documented on the EIA developer portal and returns JSON payloads for demand, generation, interchange, and emissions series by balancing authority and time range.
For traders and quant developers: EIA-930 via API acts as the observation feed for backtesting demand-driven strategies. Pair it with Jua hindcast data, available across EPT-2, EPT-2e, and third-party models, to backtest a weather-driven load strategy against years of historical forecasts. The Jua Python SDK handles both feeds under a unified schema.
Install the Jua SDK with pip install jua and access hindcast data alongside the EIA-930 feed. API documentation is at docs.jua.ai.
Frequently Asked Questions
Is the EIA report publicly available?
Yes. The EIA Hourly Electric Grid Monitor is a free public resource operated by the U.S. Energy Information Administration. All data, including demand, generation mix, interchange, and emissions estimates, is accessible through the browser dashboard, bulk CSV and Excel downloads, and a public REST API. No registration or subscription is required to view or download the data.
What is EIA 930?
EIA-930 is the mandatory hourly reporting form under which all balancing authorities operating in the contiguous United States submit electricity data to the EIA. The form captures hourly demand, net generation by fuel source, and interchange flows. The EIA aggregates and publishes these submissions on the Hourly Electric Grid Monitor.
Is EIA data free to access?
Yes. All data published by the U.S. Energy Information Administration, including the Hourly Electric Grid Monitor and the EIA-930 feed, is free to access and use. The EIA’s public API requires a free API key but carries no subscription cost. Bulk historical downloads are available without registration directly from the EIA website.
Conclusion: Turn EIA Observations into Trading Edge
The EIA Hourly Electric Grid Monitor supplies the observed grid data that power traders, meteorologists, and quant teams already rely on, including demand, generation mix, and interchange flows across balancing authorities. Observation tells you what happened. Forecast tells you what happens next.
Jua is a foundation model and agent company. Jua for Energy is the first applied product, built on EPT-2, EPT-2e, and Athena. EPT-2’s demonstrated accuracy advantage over ECMWF HRES across all four P&L-driving variables, including wind, temperature, and solar radiation, means the forecast layer is as reliable as the EIA observation layer. Athena turns a natural-language question into a briefing, a benchmark, or a backtest in approximately 90 seconds. The EIA observation layer and the Jua for Energy forecast layer belong in the same workflow, so you can act before the market does.
Run EPT-2 head-to-head against your current forecast provider on your region and your variables.