Alfonso Capozzoli
www.baeda.polito.it
0000-0002-0083-4983
Politecnico di Torino
147 papers found
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Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings
Faulty Operation of Coils’ and Humidifier Valves in a Typical Air-Handling Unit: Experimental Impact Assessment of Indoor Comfort and Patterns of Operating Parameters under Mediterranean Climatic Conditions
Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries
Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management
Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context
Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: Case study of the electrification of the road European transport sector
Data-driven district energy management with surrogate models and deep reinforcement learning
Enhancing energy efficiency and comfort in buildings through model predictive control for dynamic façades with electrochromic glazing
Energy Management of a Residential Heating System Through Deep Reinforcement Learning
Coordinated energy management for a cluster of buildings through deep reinforcement learning
Exploring the Potentialities of Deep Reinforcement Learning for Incentive-Based Demand Response in a Cluster of Small Commercial Buildings
Online Implementation of a Soft Actor-Critic Agent to Enhance Indoor Temperature Control and Energy Efficiency in Buildings
A Data Analytics-Based Energy Information System (EIS) Tool to Perform Meter-Level Anomaly Detection and Diagnosis in Buildings
A Data-Driven Energy Platform: From Energy Performance Certificates to Human-Readable Knowledge through Dynamic High-Resolution Geospatial Maps
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules
Advanced Control Strategies For The Modulation Of Solar Radiation In Buildings: MPC-Enhanced Rule-Based Control
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings
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