Energy comparisons without weather normalization are noise. A 2025 winter that ran 18% colder than 2024 will inflate every YoY metric you publish. Signal Weather pulls NOAA-grade data per facility, normalizes consumption, and isolates real operational changes.
Four functions across data, normalization, and forecasting.
NOAA ISD station data resolved to each facility coordinate. Historical hourly back 20+ years. Forecast 7-14 days.
Heating- and cooling-degree-day regression baselines per building. Catches real anomalies through weather noise.
Day-ahead load prediction tied to weather forecast. Enables peak-shaving and demand-response prep.
Flags consumption that is anomalous after weather is removed. The cold snap excused; the still-running AHU is not.
A common scenario: a sustainability team reports YoY energy growth and is held to account by leadership. The truth, after weather normalization: actual operational consumption fell 6% the rest was a colder winter and a hotter summer.

On-premise by default. Cloud-deployable when required. Your facility data never leaves your network.
TLS everywhere, secrets in vault, row-level security on every query. Containerized and isolated so one service going down never takes the rest with it.
A·IQ is built by Arcis FM, a Service-Disabled Veteran-Owned Small Business (SDVOSB). Set-aside eligible for federal contracts. CAGE 14DG6 · UEI Z95MQL2KEYG3.
Engineer and operator questions on this capability.
NOAA ISD (hourly historical), NWS NDFD (forecast), and OpenWeatherMap (real-time backfill). Per-site resolution to the nearest qualified station.
Cooling-degree-days and heating-degree-days standard metrics for the heating and cooling load a building experiences. Most energy normalization regresses against them.
No. Weather is included in Signal. NOAA data is public.
Yes. We can ingest from Visual Crossing, AccuWeather Enterprise, or your own weather station network.
Weather is an input. Energy and demand are the outputs.
Send us your last 24 months of energy data. We will weather-normalize it and show you the real operational trend.