19/08/2026
⚡ SELF-LEARNING ENERGY MANAGEMENT + AI — BUILT ON VICTRON & NODE-RED 🤖☀️🔋
We’ve been developing the next stage of intelligent energy management at Off-Grid Dynamics — combining Victron Energy, Node-RED and AI to create an ESS that doesn’t just follow fixed rules, but learns how the property actually uses and produces energy.
Our system continuously builds its own picture of the installation by learning:
🏠 Hourly household consumption — creating a 24-hour load profile based on real usage.
☀️ Solar performance — comparing predicted PV production against actual yield so forecasts can be corrected using real-world system performance.
🔋 Battery requirements — estimating how much stored energy will be required before useful solar generation is available.
🚗 EV consumption separately — preventing vehicle charging from distorting the property’s normal household load profile.
🌦️ Forecast PV production — looking ahead at when solar is expected, rather than simply considering the total predicted generation for the day.
Then comes the AI layer.
Instead of simply deciding “solar tomorrow = don’t charge the battery”, the system can consider when that solar is expected to arrive, predicted household demand, current battery SOC and learned historical behaviour.
For example, if tomorrow is forecast to produce plenty of solar but meaningful generation won’t begin until late morning, the system can calculate the energy required to get the property through those early hours and intelligently set an overnight battery target.
That means:
⚡ Less unnecessary peak-rate grid consumption
☀️ Better utilisation of available solar
🔋 Smarter battery charging targets
📊 Decisions based on actual learned consumption
💷 Greater potential to reduce energy costs
🧠 A system that becomes better informed as it gathers more data
The objective isn’t simply automation.
It’s an energy management system that understands the installation it is controlling.
This is the direction we’re taking energy storage at Off-Grid Dynamics — combining professional system design, Victron hardware, Node-RED automation and AI-driven decision making.
Smart energy shouldn’t just react. It should learn, predict and plan.