Product · CompoundVision

By Compounding Energy

Wind and solar power forecasting. 9,600+ farms today, tomorrow's pipeline already in view. Physics, not black boxes.

CompoundVision produces hourly power forecasts for every public wind and solar farm in the US — 8,661 operating plus 1,011 planned additions tracked from EIA Form 860M — and any custom assets you add. The engine is pure physics: Monin-Obukhov atmospheric stability, manufacturer power curves, Perez irradiance transposition, and 30+ documented steps from weather to watts. No ML. No hidden assumptions. Probabilistic P10–P90 bands that widen honestly when data is uncertain.

Launch CompoundVision View pricing

9,672

Wind + solar farms forecasted individually — 8,661 operating and 1,011 planned, from USGS USWTDB, USPVDB, and EIA 860M

16 days

Hourly forecast horizon across every model — deterministic NWP and probabilistic ensembles alike

7 models

GFS, ECMWF, ICON, GEM + ensemble average, plus GEFS (31m) and ECMWF ENS (51m) probabilistic ensembles for P10–P90 uncertainty bands

6 ISOs

Day-ahead LMP and $ revenue for CAISO, ERCOT, MISO, NYISO, ISO-NE, SPP direct from each operator

How it works

Weather → physics → power → revenue.

Step 1

Weather ingest

CompoundVision pulls hourly NWP data from Open-Meteo — GFS, ECMWF HRES, ICON, and GEM models. Each farm gets weather interpolated to its exact coordinates. A paid Open-Meteo key cuts full-CONUS runtime from hours to under 10 minutes.

Step 2

Physics-based power conversion

Wind: stability-dependent log-law shear (Monin-Obukhov with Louis 1979 closure), humidity-corrected air density, 35+ manufacturer power curves, Bastankhah-Gaussian wake losses, composite curtailment (icing, thermal, high-wind hysteresis). Solar: PSA solar position, Perez 1990 transposition, Fresnel IAM, Faiman thermal model, spectral correction, HSU soiling with rain-wash, bifacial rear irradiance, inverter clipping.

Step 3

Probabilistic output + revenue

Every forecast includes P10, P25, P50, P75, and P90 bands. When a farm's specifications are inferred from vintage defaults (rather than known from the manufacturer), the bands widen by up to 1.4× — so the uncertainty is honest about what it doesn't know. Power multiplies against day-ahead LMPs pulled directly from each of the 6 free US ISOs to produce $ revenue per ISO and per farm. Everything aggregates on a 3D CesiumJS globe or via the REST API.

Why physics, not ML

When a forecast is wrong, you can trace exactly why.

ML models learn patterns from historical data. When the pattern changes — a new turbine model, a revised power curve, a farm expansion — the model needs retraining and the forecast degrades silently until it catches up.

Physics models derive power from first principles: wind speed, air density, atmospheric stability, panel temperature, irradiance geometry. When a farm changes, you update its specs and the forecast adapts immediately. No retraining. No drift. No opaque failure mode.

CompoundVision uses 30+ documented physical steps from raw NWP weather to final power output. Every step is individually testable and physically interpretable. When a forecast is wrong, you can trace exactly why — which atmospheric layer, which power-curve segment, which curtailment rule — and fix it at the source.

CompoundVision — per-farm physics breakdown

Capabilities

Every layer of the platform.

3D CesiumJS dashboard with 9 views

Wind, Solar, Combined, Dashboard (ISO aggregates), Skill, Backtest, Revenue, Portfolio, and an in-app searchable Help manual. Interactive globe with CartoDB basemap, wind particle animation, time scrubber with 1×/2×/4× playback, and marker sizing by capacity, capacity factor, or live power output.

Planned plants + Scenario selector

See the next 3–5 years of the US grid today. EIA 860M is auto-ingested on the 26th of every month, feeding 1,000+ planned additions with expected online dates. Outlined markers distinguish planned / under-construction / testing from operating, and a three-way Scenario toggle lets you forecast Operating only, + Under Construction, or + All Planned.

Day-ahead LMP revenue for 6 ISOs

Direct HTTP fetchers against CAISO OASIS, ERCOT MIS, MISO market reports, NYISO public CSVs, ISO-NE static transforms, and SPP portal — no third-party data layer. Forecast power × LMP becomes $ revenue per ISO, per hub, and per individual farm. Updates every 6 hours.

Skill scoring + Backtest overlay

Nightly RMSE / MAE / skill-score vs EIA-930 actuals across every model × region × lookback window. The Backtest viewer overlays any archived forecast against the observed generation for the same period.

Portfolio builder with diversification

Build named multi-farm portfolios, toggle farms on/off, and see aggregated power, per-model comparison, pairwise correlation, and variability-reduction σ. Export as Portfolio Summary CSV, Per-Farm Detail CSV, or Full JSON.

Customer farm extensibility

Add your own wind and solar assets via the API or the dashboard's 'Add farm' modal. CompoundVision infers missing specs from vintage-weighted defaults and reports a data-quality badge so you know what's measured vs estimated.

Multi-tenant API

FastAPI backend with JWT + API key auth, per-tenant farm scoping, paginated endpoints for farms and forecasts, and a public tenant that every free-tier user can read from. Rate-limited via Redis in production.

USGS + EIA 860 + EIA 860M refresh

USGS USWTDB and USPVDB are the authoritative source for operating wind and solar. EIA Form 860 (annual) gap-fills; EIA Form 860M (monthly, automated) keeps both operating deltas and planned additions current. Three merged datasets, one unified physics run per cycle.