The YORD Heating Optimization Platform leverages artificial intelligence and machine learning to revolutionize building heating systems, ensuring energy efficiency and reducing peak consumption. By dynamically regulating heating flow and temperature curves based on real-time data and predictive adjustments, the platform optimizes comfort while significantly cutting heating energy use.

Installed as a plug-in module or integrated via cloud, the system collects data from indoor temperature sensors, heating units, and weather forecasts to create a thermal model of the building. Unlike traditional thermostatic control, YORD's AI adapts to occupant behavior, coordinates multiple heating zones, and learns over time to maximize efficiency.

Compatible with various heating systems including heat pumps, gas boilers, and district heating, the platform seamlessly integrates with building management systems (BMS) or operates independently. It offers facility managers dashboards and insights for monitoring and optimization, making it an essential tool for buildings aiming to meet ESG and energy-reduction targets.

• Dynamic Regulation: AI-driven system adjusts heating flow and temperature curves in real-time for optimal efficiency.
• Predictive Adjustments: Learns occupant behavior and makes proactive heating adjustments to prevent overheating.
• Multiple Heating Zones: Coordinates heating across different zones within a building for maximum comfort and energy savings.
• Compatibility: Works with various heating systems and integrates with building management systems for seamless operation.
• Energy Reduction: Cuts heating energy use by up to 25%, significantly reducing peak consumption and operational costs.
• Support and Insights: Provides facility managers with dashboards and insights for monitoring and optimizing heating systems.
• Scalability: Cost-effective solution that can be easily scaled across building portfolios without major retrofitting.