Mirco Rampazzo
Mirco Rampazzo
Assistant Professor @ University of Padova
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Zitiert von
Zitiert von
Data-driven fault detection and diagnosis for HVAC water chillers
A Beghi, R Brignoli, L Cecchinato, G Menegazzo, M Rampazzo, ...
Control Engineering Practice 53, 79-91, 2016
A PSO-based algorithm for optimal multiple chiller systems operation
A Beghi, L Cecchinato, G Cosi, M Rampazzo
Applied Thermal Engineering 32, 31-40, 2012
A multi-phase genetic algorithm for the efficient management of multi-chiller systems
A Beghi, L Cecchinato, M Rampazzo
Energy Conversion and Management 52 (3), 1650-1661, 2011
A one-class svm based tool for machine learning novelty detection in hvac chiller systems
A Beghi, L Cecchinato, C Corazzol, M Rampazzo, F Simmini, GA Susto
IFAC Proceedings Volumes 47 (3), 1953-1958, 2014
Energy efficient control of HVAC systems with ice cold thermal energy storage
A Beghi, L Cecchinato, M Rampazzo, F Simmini
Journal of process control 24 (6), 773-781, 2014
A real-time algorithm for the determination of R744 systems optimal high pressure
L Cecchinato, M Corradi, G Cosi, S Minetto, M Rampazzo
International journal of refrigeration 35 (4), 817-826, 2012
Model-based fault detection and diagnosis for centrifugal chillers
A Beghi, L Cecchinato, F Peterle, M Rampazzo, F Simmini
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 158-163, 2016
Modelling and control of a free cooling system for data centers
A Beghi, L Cecchinato, G Dalla Mana, M Lionello, M Rampazzo, E Sisti
Energy Procedia 140, 447-457, 2017
On-line, auto-tuning control of Electronic Expansion Valves
A Beghi, L Cecchinato, M Rampazzo
international journal of refrigeration 34 (4), 1151-1161, 2011
A static moving boundary modelling approach for simulation of indirect evaporative free cooling systems
M Rampazzo, M Lionello, A Beghi, E Sisti, L Cecchinato
Applied Energy 250, 1719-1728, 2019
VAVAC systems modeling and simulation for FDD applications
A Beghi, L Cecchinato, F Paggiaro, M Rampazzo
2011 9th IEEE International Conference on Control and Automation (ICCA), 800-805, 2011
Energy-efficient operation of transcritical and subcritical CO2 inverse cycles via Extremum Seeking Control
M Rampazzo, A Cervato, C Corazzol, L Mattiello, A Beghi, L Cecchinato, ...
Journal of Process Control 81, 87-97, 2019
Extreme gradient boosting model based on improved Jaya optimizer applied to forecasting energy consumption in residential buildings
J Sauer, VC Mariani, L dos Santos Coelho, MHDM Ribeiro, M Rampazzo
Evolving Systems, 1-12, 2021
Remote refrigeration system experiments for control engineering education
M Rampazzo, A Cervato, A Beghi
Computer Applications in Engineering Education 25 (3), 430-440, 2017
A data-driven approach for fault diagnosis in HVAC chiller systems
A Beghi, R Brignoli, L Cecchinato, G Menegazzo, M Rampazzo
2015 IEEE Conference on Control Applications (CCA), 966-971, 2015
Optimal operational efficiency of chillers using oil-free centrifugal compressors
M Lissandrin, M Rampazzo, L Cecchinato, A Beghi
International Journal of Refrigeration 82, 83-96, 2017
Load forecasting for the efficient energy management of HVAC systems
A Beghi, L Cecchinato, M Rampazzo, F Simmini
2010 IEEE International Conference on Sustainable Energy Technologies (ICSET …, 2010
Process history-based fault detection and diagnosis for VAVAC systems
A Beghi, L CecChinato, L Corso, M Rampazzo, F Simmini
2013 IEEE International Conference on Control Applications (CCA), 1165-1170, 2013
Modelling and simulation of a Li-ion energy storage system: Case study from the island of Ventotene in the Tyrrhenian Sea
M Rampazzo, M Luvisotto, N Tomasone, I Fastelli, M Schiavetti
Journal of Energy Storage 15, 57-68, 2018
Control of second order processes with dead time: the predictive PID solutions
F Peterle, M Rampazzo, A Beghi
IFAC-PapersOnLine 51 (4), 793-798, 2018
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