Facilities Using Sustainable Integrated Operations Network
Coach Name
Jordi Bosch Garcia
EU Organization
INTELIGG P.C.
Members
- Christos Ioakimidis
- Ali Bagheri
- Evangelia Giannakopoulou
- Ioannis Kesoglou
- Gabriel Xanthopoulos
CA Organization
SmartONE Solutions Inc.
Members
- Ted Maulucci
- Farhad Keramati
Project Overview
FUSION tackles one of the biggest challenges in today’s smart-building landscape: the fragmentation between facility management (FM) systems and Building Energy Management Systems (BEMS). SmartONE operates a powerful IoT platform installed in residential buildings across Canada, but it lacked advanced energy optimisation features. Meanwhile, INTELIGG provides a cloud-based Generative AI/ML BEMS (Energy Forecaster), but required an entry point into the residential sector and real-world telemetry for model development.
To solve this, FUSION created a unified, embedded IoT platform enabling seamless bidirectional interoperability between SmartONE’s edge devices and INTELIGG’s cloud intelligence. The project established a high-frequency telemetry pipeline (1-minute intervals), built interpretable machine-learning HVAC models, and successfully executed optimisation commands (HVAC setpoints, lighting adjustments) back to the building in real time.
The system was deployed and validated in a live residential building in Ontario, demonstrating Proactive Energy Management that reduces operational costs, improves comfort, and supports sustainability goals.
Methods and approaches
Data Harmonisation & Predictive Modeling Pipeline
FUSION built a complete data engineering workflow:
- Secure ingestion of high-frequency HVAC telemetry from SmartONE devices into Azure IoT Hub.
- JSON flattening, time alignment, outlier removal, resampling to 1-minute intervals, and structured CSV generation.
- Development of supervised ML models (Linear Regression) to predict Discharge Air Temperature and Leaving Water Temperature.
- The LWT model achieved RMSE = 0.721 (KPI8).
This established reliable HVAC performance baselines for real-time optimisation.
Cross-System Interoperability Using Open Protocols (REST + MQTT)
A major achievement of FUSION was enabling full bidirectional communication between INTELIGG’s cloud AI and SmartONE’s on-premise IoT controllers. The team implemented an interoperability layer using:
- MQTT for low-latency device-level control,
- REST API for cloud–edge communication,
- execution of setpoint/lighting commands validated by SmartONE controllers.
This overcame vendor lock-in and proved that two previously siloed systems could operate as one.
Key Achievements
Fully functional, integrated IoT + AI platform combining SmartONE FM and INTELIGG BEMS.
Live Canadian pilot deployment validating the end-to-end system.
High-frequency (1-minute) telemetry ingestion pipeline (KPI7).
Predictive ML models for HVAC performance, including the LWT model achieving RMSE = 0.721 (KPI8).
Cross-system interoperability achieved through REST and MQTT (KPI9).
Detailed hardware and software specifications including Wall Pads, smart switches, sensors, community devices, cloud services, and forecasting engine.
A complete market analysis confirming strong commercial demand in the Canadian MURB sector.
Publication of scientific work on IoT-based HVAC analytics.
Impact & Results
Scientific Impact
- Developed a novel cross-vendor data harmonisation pipeline, addressing fragmented IoT ecosystems.
- Delivered validated ML baselines for real-time HVAC forecasting.
- Generated reproducible telemetry datasets, visualisation tools, and documented methodologies.
- Supported publication of peer-reviewed research and open-source contributions.
Economic/Industrial impact
- Enables building operators to reduce energy costs through proactive optimisation.
- Removes vendor lock-in, allowing interoperability across hardware ecosystems.
- Accelerates INTELIGG’s go-to-market strategy in Canada, supported by market feasibility analysis.
- Preserved and created employment positions within INTELIGG (software engineers).
Societal Impact
- Enhances occupant comfort while improving energy efficiency.
- Supports decarbonisation targets through reduced HVAC emissions.
- Implements ethical data-handling practices aligned with privacy requirements.
EU/CA collaboration
- Long-term partnership strengthened through knowledge transfer, technical integration, and shared data.
- Alignment on regulatory, ethical, and security practices for transnational smart-building solutions.
- Establishes a scalable model for EU–North America digital collaboration.
Publications and Open-Source Contributions
- Scientific publication on IoT-based predictive HVAC models (Buildings Journal, 2025).
- Open-source contributions including data-processing scripts, visualisation tools, and modelling workflows.
- Hardware & software specification documents, interoperability architecture, and pipeline documentation.
- Business and market analysis reports included in the final deliverables.
Future directions