# Electricity load/weather dislocation: literature and implementation boundary **Reviewed:** 2026-08-16 **Family:** `electricity_load_weather_spread` **Claim state:** mechanism supported; investable return untested **Return identities spent:** zero ## Abstract Power must balance continuously, while demand and renewable output depend on weather. Forecast updates therefore change expected scarcity, commitment, balancing demand, and the marginal fuel stack. This supports a plausible short-horizon relative-value mechanism, but not a generic “weather predicts power” return claim. A defensible study must preserve the operational forecast vintage available before the trade, the local market clock, physical constraints, and executable power/fuel instruments. ## Key evidence Maciejowska, Uniejewski, and Weron's review explains why electricity prices have unusual short-run dynamics and why probabilistic forecasts and economic—not only statistical—evaluation are necessary. It supports the forecasting problem, not a specific profitable rule. - [Maciejowska, Uniejewski, and Weron, *Forecasting Electricity Prices*](https://arxiv.org/abs/2204.11735) Kiesel and coauthors study speculative intraday trading driven by renewable-production forecast updates. Their controlled out-of-sample evidence supports the mechanism that public forecast revisions can move intraday prices, but it is a European continuous-market design and cannot be ported directly to US listed monthly power futures. - [*Intraday power trading: toward an arms race in weather forecasting?*](https://link.springer.com/article/10.1007/s00291-022-00698-5) Ruhnau shows that the economic value of a generation forecast depends on how forecast errors co-move with prices; lower RMSE alone need not produce better trading economics. This motivates ALPHAC's prohibition on selecting a weather model by forecast accuracy and then assuming the same ranking survives costs and market impact. - [Ruhnau, *Economic implications of forecasting electricity generation from variable renewable energy sources*](https://doi.org/10.1016/j.renene.2020.06.110) The EIA-930 route publishes hourly actual demand and day-ahead demand forecasts by balancing authority. Its public API schema is useful for source feasibility, but delivery period is not a forecast issue timestamp or immutable revision identifier. - [EIA Open Data API](https://www.eia.gov/opendata/index.php/api) - [EIA electricity data guide](https://www.eia.gov/electricity/data/guide/pdf/guide.pdf) NOAA/NCEI archives operational and retrospective forecast products. Reanalysis and reforecast products are useful controls, but retrospective model output is not evidence of what a trader observed in real time. Operational initialization, dissemination latency, model changes, and archive completeness must remain explicit. - [NOAA/NCEI Climate Forecast System archive](https://www.ncei.noaa.gov/products/weather-climate-models/climate-forecast-system) - [NOAA archive dataset selection](https://www.ncei.noaa.gov/has/HAS.DsSelect) ## ALPHAC boundary The first admissible identity remains PJM Western Hub peak/off-peak power relative to Henry Hub fuel, with natural-gas trend and calendar seasonality neutralized. ERCOT, nodal prices, utility equities, and ETF proxies are not pooled into the same trial. No direction, model, threshold, holding period, Sharpe ratio, or admission claim is supported yet. The family is economically distinct from the killed generic futures carry and commodity positioning tests, but independence is not presumed. Any later return test must report conditional correlation and co-expected-shortfall against AlphaTrend, natural-gas shocks, short-volatility exposure, and extreme-weather periods. ## Rerun inputs - workflow requested: `firecrawl-research-papers` - collection result: Firecrawl unavailable because `FIRECRAWL_API_KEY` was not configured - fallback: primary papers plus official EIA and NOAA documentation - output: markdown literature boundary - return data opened: no - return hypotheses spent: zero