Market and grid context.
Historical prices, demand, weather, wind, solar, fuel, carbon, grid constraints, calendar effects, and market regime signals.
Energy Day-Ahead forecasting with Harus: probabilistic market scenarios for prices, demand, generation, volatility, and risk windows.
Historical prices, demand, weather, wind, solar, fuel, carbon, grid constraints, calendar effects, and market regime signals.
Expected paths and uncertainty ranges instead of a single deterministic market number.
Compare base, downside, upside, and stress cases before committing to operational or trading decisions.
The workflow connects live and historical signals into a forecast run, evaluates scenario assumptions, and exposes market risk windows.
Outputs are designed for operational use: hourly price paths, uncertainty bands, scenario comparison, risk flags, validation views, and exportable summaries for market and procurement teams.
Energy Day-Ahead forecasting with Harus: probabilistic market scenarios for prices, demand, generation, volatility, and risk windows.
Energy Day-Ahead is connected to Harus.
The workflow connects live and historical signals into a forecast run, evaluates scenario assumptions, and exposes market risk windows.
Outputs are designed for operational use: hourly price paths, uncertainty bands, scenario comparison, risk flags, validation views, and exportable summaries for market and procurement teams.