| Urban traffic flow forecasting through statistical and neural network bagging ensemble hybrid modeling F Moretti, S Pizzuti, S Panzieri, M Annunziato Neurocomputing 167, 3-7, 2015 | 279 | 2015 |
| Adaptive street lighting predictive control F Marino, F Leccese, S Pizzuti Energy Procedia 111, 790-799, 2017 | 128 | 2017 |
| Data-driven models for short-term thermal behaviour prediction in real buildings F Ferracuti, A Fonti, L Ciabattoni, S Pizzuti, A Arteconi, L Helsen, ... Applied Energy 204, 1375-1387, 2017 | 113 | 2017 |
| The role of data sample size and dimensionality in neural network based forecasting of building heating related variables M Macas, F Moretti, A Fonti, A Giantomassi, G Comodi, M Annunziato, ... Energy and Buildings 111, 299-310, 2016 | 80 | 2016 |
| Smart city platform specification: A modular approach to achieve interoperability in smart cities A Brutti, P De Sabbata, A Frascella, N Gessa, R Ianniello, C Novelli, ... The internet of things for smart urban ecosystems, 25-50, 2018 | 79 | 2018 |
| Smart lighting as basic building block of smart city: An energy performance comparative case study E Petritoli, F Leccese, S Pizzuti, F Pieroni Measurement 136, 466-477, 2019 | 77 | 2019 |
| Smart street lighting management S Pizzuti, M Annunziato, F Moretti Energy Efficiency 6 (3), 607-616, 2013 | 68 | 2013 |
| Low order grey-box models for short-term thermal behavior prediction in buildings A Fonti, G Comodi, S Pizzuti, A Arteconi, L Helsen Energy Procedia 105, 2107-2112, 2017 | 52 | 2017 |
| Adaptive parameterization of evolutionary algorithms driven by reproduction and competition M Annunziato, S Pizzuti Proceedings of the European Symposium on Intelligent Techniques (ESIT 2000 …, 2000 | 48 | 2000 |
| On-line steam production prediction for a municipal solid waste incinerator by fully tuned minimal RBF neural networks A Giantomassi, G Ippoliti, S Longhi, I Bertini, S Pizzuti Journal of Process Control 21 (1), 164-172, 2011 | 43 | 2011 |
| Soft computing based optimization of combined cycled power plant start-up operation with fitness approximation methods I Bertini, M De Felice, A Pannicelli, S Pizzuti Applied Soft Computing 11 (6), 4110-4116, 2011 | 35 | 2011 |
| Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis F Lauro, F Moretti, A Capozzoli, I Khan, S Pizzuti, M Macas, S Panzieri Energy Procedia 62, 411-420, 2014 | 34 | 2014 |
| Decision support methodologies and day-ahead optimization for smart building energy management in a dynamic pricing scenario A Pallante, L Adacher, M Botticelli, S Pizzuti, G Comodi, A Monteriu Energy and Buildings 216, 109963, 2020 | 26 | 2020 |
| A control strategy for district energy management MP Fanti, AM Mangini, M Roccotelli, W Ukovich, S Pizzuti 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 24 | 2015 |
| Adaptive systems and evolutionary neural networks: a survey M Annunziato, M Lucchetti, S Pizzuti Proc. EUNITE02, Albufeira, Portugal, 2002 | 22 | 2002 |
| Advanced street lighting control through neural network ensembling S Pizzuti, F Moretti, M Annunziato, S Panzieri The second international conference on smart systems, devices and …, 2013 | 21 | 2013 |
| Evolutionary feed-forward neural networks for traffic prediction M Annunziato, I Bertini, A Pannicelli, S Pizzuti EUROGEN, 2003 | 21 | 2003 |
| A smart home services demonstration: Monitoring, control and security services offered to the user M Botticelli, L Ciabattoni, F Ferracuti, A Monteriù, S Pizzuti, S Romano 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE …, 2018 | 20 | 2018 |
| Ambient temperature modelling with soft computing techniques I Bertini, F Ceravolo, M Citterio, M De Felice, B Di Pietra, F Margiotta, ... Solar Energy 84 (7), 1264-1272, 2010 | 20 | 2010 |
| Evolving weights and transfer functions in feed forward neural networks M Annunziato, I Bertini, M Lucchetti, S Pizzuti Proc. EUNITE, 10-12, 2003 | 20 | 2003 |
