Energy use cases

Texas, United States

Schedule batteries in four Texas load zones on real-time price forecasts

eomer forecasts hourly real-time prices at four ERCOT load zones before 09:00 Central on the day before delivery. A battery schedule converts each forecast into charge and discharge decisions at the local price.

Across 843 delivery days, eomer adds USD 1.25M to 2.81M per battery-year over the naive schedule, which equals USD 3.1M to 7.0M per GWh-year.

Measured evidence

The case in three measures

Source: eomer Texas battery case deck, which uses ERCOT settlement prices at LZ_HOUSTON, LZ_NORTH, LZ_SOUTH, and LZ_WEST from January 2024 to May 2026.

USD 3.1–7.0M

Additional value per GWh-year

Relative to the naive schedule, across four load zones.

60–70%

Share of perfect-foresight value

Compared with 36% to 46% for the naive schedule and 55% to 66% for the price-only model.

11.8%

Lower six-day forecast error

Relative to the most accurate price-only rival model, over 1,428 region-origin pairs.

Case article

From input to implication

01

Decision context

To schedule a battery for the next day, an operator must forecast the real-time price at the battery location. ERCOT clears a separate price at each load zone, so each location needs its own forecast.

At LZ_WEST, prices average USD 17/MWh from 09:00 to 15:00 and USD 62/MWh during the evening peak. Each load zone records 111 to 219 hours above USD 200/MWh, with peaks near USD 3,000/MWh.

02

Method

To compare forecasts on equal terms, the backtest schedules one 100 MW / 400 MWh battery per load zone on each forecast. The battery has 85% round-trip efficiency, one cycle per day, and a degradation cost of USD 10/MWh.

The schedule is fixed at 09:00 Central on the day before delivery and settles at the local real-time price. The comparison includes a naive schedule that repeats the latest complete day and a price-only model.

eomer adds Site Agent, which forecasts the output of the 100 largest solar parks and the 100 largest wind farms in ERCOT.

03

Finding and implication

eomer captures 60% to 70% of perfect-foresight value across the four load zones. At LZ_WEST, revenue exceeds the naive schedule by 94%. Site Agent adds USD 324k to 441k per battery-year relative to eomer alone.

Over a six-day horizon, eomer records 11.8% lower mean absolute error than the most accurate price-only rival model. A pilot must evaluate the battery node, where congestion and losses can change settlement prices.

Case deck

Texas real-time battery case deck

9 slides

Schedule batteries in four Texas load zones on real-time price forecasts, slide 1

Slide 1 of 9

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