Marco Savino Piscitelli

Marco Savino Piscitelli is a Fixed-Term Researcher at the Polytechnic University of Turin within the Department of Energy (DENERG) and member of the Interdepartmental Center SmartData@PoliTO. He actively contributes to the BAEDA Lab (Building Automation and Energy Data Analytics) since 2021. His academic activities span two schools: College of Architecture and Design (as member), and College of Electrical and Energy Engineering (as invited member).

Research Interests focus on:

• Adaptive control strategies for smart buildings
• Data-driven energy management systems
• Knowledge graphs and LLMs for building interoperability
• Fault detection in HVAC and district heating systems
• Energy benchmarking frameworks
• Grid-interactive efficient buildings
• Commercial research projects with generative AI applications

Recent Publications (2023-2025) demonstrate expertise in:

• AI-enhanced energy planning
• Brick-compliant semantic models
• Deep learning for power demand forecasting
• Multi-zone HVAC optimization
• Experimental building diagnostics
• Collective self-consumption strategies

Teaching Roles include:

• Lecturer for Energy Management and Automation in Buildings (2023-2025)
• Collaborator for Energy Transition and Low-Carbon Architecture (2021-2025)
• Lecturer for Models and Scenarios for Energy Planning (2024)
• Titolare (lead instructor) for Building Physics and Air Conditioning (2024)

Research Projects:

• 2024-2025: Scientific Manager for "Data-Driven Performance Analysis through Generative AI"
• 2023-2024: Scientific Head for "Advanced data-driven smart reporting systems"

Labs & Teams:

• BAEDA Lab - Building Automation and Energy Data Analytics
• SmartData@PoliTO - Big Data and Data Science Laboratory
• Collaboration with CityLearn v2 development team