End-to-end Data-driven Energy Management Systems (EMS) for industry, buildings and energy infrastructures

We provide end-to-end, data-driven Energy Management System (EMS) solutions to support companies in improving energy performance, operational efficiency, and flexibility across buildings, industrial processes, and energy infrastructures. Our approach covers the full value chain, from in-house designed IoT sensing devices to digital platforms, advanced analytics, and real-time control, enabling scalable and interoperable solutions adapted to existing systems. This includes the intelligent management of electric vehicle (EV) charging processes, seamlessly integrated into overall energy strategies and aligned with system-level optimization objectives.

We specialize in the integration of EMS with industrial environments, connecting heterogeneous devices and legacy systems through standard protocols (BACnet, Modbus, KNX, OPC-UA) and FIWARE-based platforms. Our capabilities include the design and deployment of custom IoT architectures, incorporating embedded sensors developed in-house for advanced energy monitoring and power quality analysis, combined with edge and cloud data pipelines. EV charging infrastructure is integrated through OCPP-compliant backends, enabling interoperable, scalable, and vendor-agnostic control of charging stations within the EMS ecosystem.

Our solutions are fully data-driven, combining real-time monitoring with AI-based prediction models and advanced analytics to enable informed decision-making. We implement control, optimization, and flexibility strategies tailored to real operational conditions, including demand response, load shifting, peak shaving, and smart EV charging optimization. These strategies are formulated using model-based approaches (e.g., MILP) and heuristic methods, explicitly considering optimization variables such as charging power profiles, state of charge (SoC), connection times, user preferences, electricity prices, and grid constraints. Where applicable, bidirectional operation (V2G/V2B) is also incorporated into the optimization framework.

We also develop digital twins for simulation and system understanding, supporting the validation of strategies before deployment, including EV charging scenarios and their interaction with distributed energy resources. Our strong hardware and software integration capabilities allow rapid prototyping and adaptation to specific industrial needs, ensuring reliable and cost-effective implementations.

We actively support the validation of innovative solutions through pilot projects and real-world demonstrators, helping industrial partners reduce technological risk and accelerate the deployment of advanced EMS solutions—including OCPP-based EV charging management and optimization-driven control—within European innovation frameworks (Horizon Europe, LIFE, CET, DUT, Interreg).