Home energy & smart-grid systems
Vendor-Agnostic Home Energy Management Optimization (HEMS)
While proprietary home energy management systems exist, they operate within closed vendor ecosystems, utilizing basic, reactive heuristics (e.g., simple threshold-based switching). True economic and thermodynamic efficiency requires cross-vendor interoperability and predictive mathematical optimization.
Solvicus delivers a cloud-based mathematical solver capable of orchestrating heterogeneous assets — such as PV inverters, battery storage systems (BESS), heat pumps, and electric vehicles (EVs) — into a unified, cost-minimizing system.
Required inputs
- Asset specifications: manufacturer-agnostic API telemetry, battery capacity, maximum C-rates, heat pump coefficient of performance (COP), and thermal inertia bounds
- External variables: day-ahead dynamic electricity tariffs, grid constraint signals, and localized weather/PV yield forecasts
- User constraints: desired state of charge (SoC) for EVs by specific deadlines and indoor temperature comfort bands
Solver output
- A continuous, high-frequency (e.g., 15-minute intervals) dispatch schedule for all interconnected assets
- Globally optimized charging/discharging profiles and thermal cycles that minimize total energy costs and carbon footprint while maximizing asset lifespans
Example agent prompt
“Act as a Solvicus HEMS Optimization Agent. Fetch tomorrow's dynamic hourly grid pricing and the local solar forecast. Given an EV that must reach 80% SoC by 07:00 AM, a home battery currently at 30% SoC, and a heat pump managing a building with a thermal dissipation rate of 0.5°C/hour, calculate the optimal 24-hour dispatch schedule. Minimize total electricity expenditure while avoiding battery degradation and keeping the indoor temperature between 20°C and 22°C.”
Have a recurring optimization problem in mind? We'll build a solver for it.