FRONTCURVE
From weather to power.
Project overview — November 2026

WHAT WE ARE BUILDING
Frontcurve is an independent AI startup developing a forecasting platform
for electricity market applications, initially focused on Germany and the DE-LU
day-ahead market.

EXISTING FOUNDATION
Our existing forecasting pipeline processes AI weather model forecast data,
calibrates local temperature forecasts against observations, and publishes
validated, versioned forecast artifacts using scheduled Google Cloud workflows.

WHY AI IS CENTRAL
The existing pipeline uses forecasts from established AI weather models and
adds our own observation-based calibration and data-processing layer. We plan
to train machine-learning models that connect weather and market fundamentals
to electricity price distributions. This price modelling remains development
work, with performance to be established through historical evaluation.

PLANNED ELECTRICITY MARKET RESEARCH
We intend to connect weather scenarios to renewable generation and electricity
demand, then combine these signals with market fundamentals to develop
electricity price scenarios. Wind and solar modelling, market-data integration,
and the electricity price model are development work rather than established
product capabilities.

WHY THIS MATTERS
Weather influences wind and solar generation and temperature-sensitive demand.
Forecast uncertainty can therefore be relevant to electricity market analysis.
Weather is one input: fuel costs, plant availability, cross-border flows, and
other market conditions also influence prices.

POTENTIAL CUSTOMERS AND BUSINESS MODEL
We plan to explore a subscription research dashboard and API for power market
analysts, renewable energy teams, and energy procurement teams. Customer needs,
pilot scope, and pricing remain to be validated.

NEXT MILESTONES
1. Align weather inputs with historical German market data.
2. Build and evaluate generation, demand, and price modelling baselines.
3. Train and evaluate machine-learning models on unseen historical periods
   using information available at the
   original forecast time.
4. Develop a focused pilot with prospective users.

CURRENT STATUS
The weather pipeline is operational. The electricity price model is in
development. No electricity forecasting accuracy, commercial customer base,
or investment funding is claimed.

ILLUSTRATIONS
Website charts are synthetic concept examples. They are not live forecasts,
backtest results, or validated model outputs.

BACKGROUND
German electricity market context:
https://www.smard.de/page/en/topic-article/5892/217174/the-challenge-of-solar-peaks