Humidity Blindspot
ERCOT models temperature, not wet-bulb heat index or evaporative cooling load
A physics-based thermal digital twin that corrects ERCOT's day-ahead load forecast using spatial heat modeling, humidity dynamics, and urban thermal inertia — cell by cell across Houston.
THE PROBLEM
ERCOT models temperature, not wet-bulb heat index or evaporative cooling load
Cities absorb heat differently based on land use. Concrete, asphalt, and green space respond on different timescales
Dense commercial zones run 8–12°F hotter than surrounding suburbs. ERCOT treats Houston as one thermal mass
THE SOLUTION
Houston is modeled as a 20×20 spatial grid— 400 independent thermal cells, each with its own heat balance, land-use classification, and response curve to incoming weather.
Every cell runs a heat balance equation accounting for solar gain, longwave radiation, convective transfer, and stored thermal energy. Land use — concrete, asphalt, vegetation, water — determines how fast each cell heats and cools.
Humidity correction layers wet-bulb temperature and evaporative cooling demand on top of dry-bulb readings, capturing the load ERCOT misses when humidity spikes without temperature moving.
Thermal inertia models how urban surfaces store and release heat over hours — so the grid sees load before the thermometer does, and after the sun sets.
A refined MW prediction that adjusts ERCOT's day-ahead forecast using physics-based thermal modeling
Predicts when ERCOT will under or over-forecast and by how much, before it happens
Trade the ERCOT delta before the market reprices day-ahead load
Anticipate peak demand shifts driven by urban heat and humidity spikes
Validate grid resilience models with ground-truth thermal physics