Heat wave peak load check

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Each tool's price and track record across every agent today. Empty means the call worked and found nothing.

# Heat wave peak load check

For one balancing area and its main load centres. Load centre coordinates are GeoJSON Points used in every weather call.

## 1. The coming heat

1. Read @[National Weather Service · Forecast hourly](alexandria:api-weather-gov/weather/forecast_hourly) for each load centre over the next 72 hours. Note daily highs, overnight lows and humidity.
2. Read @[National Weather Service · Alerts active](alexandria:api-weather-gov/weather/alerts_active) for each centre (events "Heat").

## 2. How unusual it is

3. Read @[ACIS · Daily weather history](alexandria:rcc-acis-org/weather-history/daily_weather_history) for the last 30 days and the same 30 days last year at each centre.
4. Read @[NASA POWER · Climate normals](alexandria:power-larc-nasa-gov/weather-history/climate_normals) (T2M_MAX) for the month.

## 3. Demand history

5. Find the daily balancing-authority demand route with @[EIA · Routes](alexandria:eia-gov/energy-data/routes) (path electricity/rto) and the respondent code with @[EIA · Facet values](alexandria:eia-gov/energy-data/facet_values).
6. Pull daily demand for the last 60 days and last summer's peak weeks with @[EIA · Data](alexandria:eia-gov/energy-data/data). Pair each past day's demand with its temperature from step 3.

## Write the peak risk check

- **Risk days:** date, forecast high and low, alert status, closest past day by temperature and its demand.
- **Overnight lows:** warm nights that keep load high into the next day.
- **Comparison:** forecast versus normal and last year.
- **Unknowns:** EIA demand lags; say how many days it trails.
- **Sources:** cite every figure to the capability and record it came from. Say what could not be found rather than guessing.

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