How Stromfee Brings AI Into a Swimming Pool: From Inquiry to a Local AI Plant Assistant

A swimming pool is an energy-intensive building: pumps run around the clock, water and air have to be heated, and wellness attractions draw power whether or not guests are present. Stromfee integrates AI into these systems step by step, starting from your existing energy data and ending with a local assistant that keeps the plant running efficiently. This page walks through that path in the order it actually happens.

Step 1: The inquiry and a first consultation

The process begins with a free consultation. Stromfee looks at how your pool is operated today, which pumps, heat pump and wellness attractions are installed, and which energy data is already being recorded. The goal of this first step is not to sell hardware but to understand where energy is being used and where AI can add value.

AI here means systems that analyze data, recognize patterns and make decisions based on them, often faster and more accurately than a manual routine. For a pool operator that translates into a concrete question: where is energy being spent when it does not need to be?

Step 2: Connecting to the energy data you already use

Integrating AI into an existing pool does not require rebuilding the plant. Stromfee's systems work with the energy data you already use and process it in real time, so you keep full control over your energy flows without much additional effort.

Because the AI reads from data you already collect, implementation stays fast: the solutions are integrated into the existing infrastructure rather than replacing it. This is the foundation for everything that follows, since every optimization decision the assistant makes is based on live measurements, not assumptions.

Step 3: What the AI actually does in the pool

Once connected, Stromfee's AI applies several concrete actions to a pool and spa. It analyzes bather patterns and drives the pumps through variable-frequency (VFD) control, adjusting pump speed to real demand instead of running flat out — Stromfee reports this reduces pump electricity by about 55%.

On the heating side, the AI forecasts heat demand from weather data and the booking situation and schedules the heat pump to run when electricity prices are low. In presence control, it detects when guests are actually in the wellness area and activates jets, steam and lighting only during use. It also builds an optimized sauna and infusion schedule so preheating times are not longer than needed. Stromfee gives target reductions of roughly 60% for heating costs and 45% for attraction costs in this pool and spa scenario.

Step 4: The local AI plant assistant

The result of the integration is a local AI assistant that watches over the plant continuously. It monitors your energy flows in real time, detects inefficient processes and can act on peak loads by shifting consumption to cheaper tariff periods — the same load-management principle Stromfee applies across the energy industry.

Running the assistant locally keeps operational data on site while still giving the pool the benefits of automated pattern recognition. Early-warning behaviour is part of this: by watching for deviations, the assistant helps flag possible faults before they turn into a failure, so staff can focus on operation instead of manual monitoring.

Why operators do this: efficiency and future-proofing

The practical payoff is efficiency. AI analyzes and optimizes energy consumption, helps avoid peak loads, and shifts consumption to times when tariffs are cheaper — all of which lowers operating cost for a facility that runs continuously.

Beyond day-to-day savings, integrating AI prepares a pool for the future of energy. It makes it easier to control the use of renewable energy and to keep the plant competitive as tariffs and grid conditions change, without adding day-to-day workload for the operating team.