alitiq Blog

We tested Chronos-2 and the new Timestral zero-shot on the day-ahead electricity load of a Swiss town. Both reach an MAE below 5 %. Results and limits.

Seven criteria for comparing providers of solar, wind and load forecasts, plus a build-or-buy TCO calculation for a 100 MW portfolio.

The alitiq API Portal has a new design and a clearer workflow. What it is for and how it helps you set up PV systems and wind parks for forecasting.

How alitiq uses satellite data and AI to take forecast quality for hydropower operators to a new level – and why we now need your input.

Why MAPE fails for solar, wind and load data with values near zero, what a good MAPE is, and which metrics such as nRMSE, WAPE and MASE work better.

What a heat demand forecast for district heating is, which factors drive heat load, and how utilities use it to plan generation and procurement.

What an electricity load forecast is, which data and methods it relies on, and why it is moving beyond standard load profiles.

What a solar power forecast is, how irradiance forecasts become PV output, and why accurate PV forecasts matter for trading and balancing.

What a wind power forecast is, how it is calculated from weather models and turbine data, and why direct marketers and utilities depend on it.

The smart meter rollout is changing the energy industry. For many utilities, it is a paradigm shift – and a chance to future-proof their forecasting.

Discover how alitiq combines AI-powered day-ahead forecasting with real-time nowcasting to deliver precision across all energy market timelines.

Why the shift to 15-minute contracts doesn't automatically mean better forecasts for renewable energy trading.