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Antonio Pievatolo
Antonio Pievatolo
Senior Researcher, CNR IMATI
Verified email at cnr.it
Title
Cited by
Cited by
Year
How can SMEs benefit from big data? Challenges and a path forward
S Coleman, R Göb, G Manco, A Pievatolo, X Tort‐Martorell, MS Reis
Quality and Reliability Engineering International 32 (6), 2151-2164, 2016
2962016
Load shedding: A new proposal
R Faranda, A Pievatolo, E Tironi
IEEE transactions on power systems 22 (4), 2086-2093, 2007
2122007
An overview of control charts for high‐quality processes
S Ali, A Pievatolo, R Göb
Quality and reliability engineering international 32 (7), 2171-2189, 2016
1232016
Optimal Storage Scheduling Using Markov Decision Processes
S Grillo, A Pievatolo, E Tironi
IEEE Transactions on Sustainable Energy 7 (2), 755-764, 2016
812016
Bayesian reliability analysis of complex repairable systems
A Pievatolo, F Ruggeri
Applied Stochastic Models in Business and Industry 20 (3), 253-264, 2004
592004
Electrical load forecasting by exponential smoothing with covariates
R Göb, K Lurz, A Pievatolo
Applied Stochastic Models in Business and Industry 29 (6), 629-645, 2013
532013
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
R Argiento, A Guglielmi, A Pievatolo
Computational Statistics & Data Analysis 54 (4), 816-832, 2010
522010
Probabilitŕ, Statistica e Simulazione, Programmi applicativi scritti con Scilab, 3a edizione
A Rotondi, P Pedroni, A Pievatolo
Springer, 2012
49*2012
Semi-Markov processes for power system reliability assessment with application to uninterruptible power supply
A Pievatolo, E Tironi, I Valade
IEEE Transactions on Power Systems 19 (3), 1326-1333, 2004
492004
A Bayesian hidden Markov model for imperfect debugging
A Pievatolo, F Ruggeri, R Soyer
Reliability Engineering & System Safety 103, 11-21, 2012
452012
Boundary detection through dynamic polygons
A Pievatolo, PJ Green
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998
451998
Distributed interruptible load shedding and micro-generator dispatching to benefit system operations
R Argiento, R Faranda, A Pievatolo, E Tironi
IEEE Transactions on Power Systems 27 (2), 840-848, 2011
412011
A statistical approach to electrical storage sizing with application to the recovery of braking energy
V Musolino, A Pievatolo, E Tironi
Energy 36 (11), 6697-6704, 2011
392011
High quality process monitoring using a class of inter-arrival time distributions of the renewal process
S Ali, A Pievatolo
Computers & Industrial Engineering 94, 45-62, 2016
342016
Bayesian analysis and prediction of failures in underground trains
A Pievatolo, F Ruggeri, R Argiento
Quality and Reliability Engineering International 19 (4), 327-336, 2003
312003
Time and magnitude monitoring based on the renewal reward process
S Ali, A Pievatolo
Reliability Engineering & System Safety 179, 97-107, 2018
242018
Analysing the interevent time distribution to identify seismicity phases: A Bayesian nonparametric approach to the multiple‐changepoint problem
A Pievatolo, R Rotondi
Journal of the Royal Statistical Society: Series C (Applied Statistics) 49 …, 2000
202000
Defect minimization and feature control in electrospinning through design of experiments
M Borrotti, E Lanzarone, F Manganini, S Ortelli, A Pievatolo, C Tonetti
Journal of applied polymer science 134 (17), 2017
162017
Bayesian estimation for a parametric Markov Renewal model applied to seismic data
I Epifani, L Ladelli, A Pievatolo
Electronic Journal of Statistics 8 (2), 2264-2295, 2014
152014
Load shedding and demand side management enhancements to improve the security of a national electrical system
A Capozza, C D'Adamo, G Mauri, A Pievatolo
2005 IEEE Russia Power Tech, 1-7, 2005
152005
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