Scientific publications
On this page you will find a shared collection of the research and scientific related publications which we will be produced in the framework of the Smart2B project.
- Non-intrusive Diagnostics for Legacy Heat-Pump Performance Degradation
Authors: Iakovos Michailidis, Georgios Vougiatzis, Aliki Stefanopoulou, Asimina Dimara, Christos D. Korkas, Stelios Krinidis, Elias B. Kosmatopoulos, Dimosthenis Ioannidis, Christos-Nikolaos Anagnostopoulos & Dimitrios Tzovaras
- Performance Meta-analysis for Big-Data Univariate Auto-Imputation in the Building Sector
Authors: Aliki Stefanopoulou, Iakovos Michailidis, Asimina Dimara, Stelios Krinidis, Elias B. Kosmatopoulos, Christos-Nikolaos Anagnostopoulos & Dimitrios Tzovaras
- Evaluation of advanced control strategies for building energy systems
Authors: Phillip Stoffel, Laura Maier, Alexander Kümpel, Thomas Schreiber, Dirk Müller
Energy Gamification: development of a user interface tool to upgrade the social experience and energy literacy
Authors: João Cravinho, Ricardo Lucas, Miguel Brito, Daniel P. Albuquerque, Uways Mithoowani, Nuno M. Mateus
Safe operation of online learning data driven model predictive control of building energy systems
Authors: Phillip Stoffel, Patrick Henkel, Martin Rätz, Alexander Kümpel, Dirk Müller
Identifying the validity domain of machine learning models in building energy systems
Authors: Martin Rätz, Patrick Henkel, Phillip Stoffel, Rita Streblow, Dirk Müller
Self-protection of IoT gateways against breakdowns and failures enabling automated sensing and control
Authors: Alexios Papaioannou, Asimina Dimara, Iakovos Michailidis, Aliki Stefanopoulou, Georgios Karatzinis, Stelios Krinidis, Christos-Nikolaos Anagnostopoulos, Elias Kosmatopoulos, Dimosthenis Ioannidis & Dimitrios Tzovaras
Ensuring Reliability in Smart Building IoT Operations through Real-Time Holistic Data Treatment
Authors: Aliki Stefanopoulou, Asimina Dimara, Iakovos Michailidis, Georgios Karatzinis, Alexios Papaioannou, Stelios Krinidis, Christos-Nikolaos Anagnostopoulos, Elias Kosmatopoulos, Dimosthenis Ioannidis & Dimitrios Tzovaras
Real-life Data-driven Model Predictive Control for Building Energy Systems Comparing Different Machine Learning Models
Authors: Phillip Stoffel, Max Berktold, Dirk Müller
Evaluating Reinforcement Learning Algorithms in Residential Energy Saving and Comfort Management
Authors: Charalampos Rafail Lazaridis,Iakovos Michailidis, Georgios Karatzinis, Panagiotis Michailidis and Elias Kosmatopoulos
Machine Learning-Enhanced Measuring of Multidimensional Energy Poverty: Insights from a Pilot Survey in Portugal and Denmark
Authors: Rahil Dejkam and Reinhard Madlener
An Innovative Methodology for Revealing Home Appliances’ Consumption Patterns to Transform Energy Management and Maintenance Strategies
Authors: Alexios Papaioannou, Asimina Dimara, Ioannis Papaioannou, Aliki Stefanopoulou, Lepidas Georgios, Iakovos Michailidis, Christos Korkas, Christos-Nikolaos Anagnostopoulos, Elias Kosmatopoulos, Stelios Krinidis & Dimitrios Tzovaras
