Point-in-Time Weather Forecast API for the Energy Commodity Market
Eight years of as-issued weather forecasts + real-time updates for United States, Brazil, Argentina, Canada, and Europe regions.
Backtest strategies. Validate impact. Win more weather-based trades.
For Energy Commodity Markets and Power/Gas Traders
- Point-in-Time Weather Forecast Archive – ideal for backtesting
- Trader-relevant models & update frequency
- ERCOT, PJM, CAISO, SPP, + other ISOs and States
- Forecasted Variables: Population-Weighted Maximum and Minimum Temperature, Wind Power Capacity-Weighted 100m Wind Speed, and Solar Power Capacity-Weighted Solar Radiation.
Weather Forecast Models (00Z/12Z)
AIFS-ENS: ECMWF’s Ensemble AI Forecast Model
AIFS: ECMWF AI Forecast Model
ECMWF: European Centre for Medium-Range Weather Forecasts
GEFS: Global Ensemble Forecast System
GFS: Global Forecast System
Energy Market Regions
United States: National, State, and ISO Level
Brazil: National Level
Argentina: National Level
Canada: National and Province-Level
European Union: Country Level
Why the Point-in-Time Weather Forecast API for Power and Gas Traders?
Prescient Weather’s Point-in-Time Weather Forecast API for energy commodity market trading gives you access to eight years of historical weather forecast data — exactly as it was issued, with no hindsight bias.
Execute trades with real-time releases of current weather forecasts of market indices.
This archive enables power and gas traders to analyze how weather expectations drive price moves.
Available in JSON, CSV, and Parquet formats for seamless integration into your modeling platforms, backtesting systems, or dashboards.
