Demand

Demand is modeled at the ISO sub-region level with hourly resolution. Each ISO has a dedicated forecast pipeline that captures regional load growth drivers and seasonal patterns.


Zonal demand

NYISO — multi-segment load forecasting

NYISO demand uses a bottom-up approach, modeling each load component separately. Total zonal load is built from five additive segments, each with its own growth trajectory and intra-day profile:

  • Base load — underlying grid demand excluding electrification and distributed generation effects
  • BTM solar — behind-the-meter solar PV reduces net load; modeled as a negative load segment with hourly shapes from weather-year irradiance data
  • EV charging — electric vehicle load addition, profiled to reflect charging patterns (overnight residential, daytime workplace)
  • Building electrification — heat pump and other electrification load, with strong winter seasonality
  • Large loads — data centres and industrial facilities added as node-specific step increments

Peak and annual energy values for each component are sourced from the NYISO Gold Book. Hourly timeseries shapes for each component are derived from historical weather-year data at the 11-zone level, using heating degree days (HDD) and cooling degree days (CDD) from NOAA to capture the temperature-driven seasonality of each segment.

Input Source Link
Seasonal peak forecasts (Summer/Winter) NYISO 2025 Gold Book, Table I-4 NYISO Gold Book
Zonal annual energy forecasts NYISO 2025 Gold Book, Table I-1 NYISO Gold Book
EV penetration forecasts NYISO 2025 Gold Book, Appendix B NYISO Gold Book
Historical hourly load shapes EIA-930 Balancing Authority sub-region data EIA-930
Heating/cooling degree days NOAA Climate Prediction Center NOAA

Forecast


Load profiles


Load sensitivity

The demand forecast is built on a single base weather year (currently 2022). Alternative weather-year shapes can be layered on top to support higher/lower demand scenarios, aligning demand shapes with renewable load-factor weather years for consistent scenario analysis.


Assumptions and caveats

  • Each ISO uses a different primary forecast source; cross-ISO consistency is maintained via common weather years and consistent base-year calibration.
  • NYISO peak and energy targets are sourced from the Gold Book. PJM, ISO-NE, and MISO use their respective forecast sources.
  • Historical flows from Quebec and Ontario are subtracted from NYISO load because those regions are not modeled explicitly in the Eastern Interconnection simulation.
  • BTM solar profiles assume clear-sky degradation curves; actual panel density by zone is an input assumption.
  • Large load additions (data centres) are node-specific and subject to project likelihood filtering.

Data sources

Source Description Link
EIA-930 Real-time BA sub-region demand and generation EIA-930
NYISO Gold Book Seasonal peak and annual energy forecasts (2023–2042) NYISO Gold Book
NOAA Degree Days Heating and cooling degree days for load-weather regression NOAA