A battery plan built around market prices and the capacity charge, driven by AI forecasts of production, consumption and prices. For industrial and commercial sites with on-site generation and storage.
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Advanced algorithms analyze the site's consumption, production and market prices to lower its energy bills.
The battery plan respects the site's contracted power limits, set for each month: charging stays within the import limit, and discharging helps cut import above it.
The battery plan takes the daily capacity-charge categories K1-K4 into account: it cuts grid import in weekday peak hours (7:00-22:00) and, where the battery is large enough, can lower a day's category. For business connections above 16 kW with hourly settlement on a dynamic tariff.
The battery's charge and discharge plan uses the market energy price (RCE) of every quarter-hour and, where that price is not yet published, an AI price forecast. The battery charges in cheaper hours and discharges in more expensive ones.
Forecasts of the site's PV production, energy consumption and market prices, built from weather and historical data. Models are retrained daily.
Integration guide for PLCs (CODESYS, WAGO PFC200) with the EnergyPal.AI API.
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HI-END TECH Spółka z ograniczoną odpowiedzialnością Spółka komandytowa, ul. Pod Strzechą 29, 31-352 Kraków · KRS 0000724989 · NIP 6772433268 · Company details
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