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 | 260 | 2015 |
Adaptive street lighting predictive control F Marino, F Leccese, S Pizzuti Energy Procedia 111, 790-799, 2017 | 109 | 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 | 96 | 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 | 67 | 2016 |
Smart street lighting management S Pizzuti, M Annunziato, F Moretti Energy Efficiency 6, 607-616, 2013 | 61 | 2013 |
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 | 60 | 2019 |
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, 2019 | 58 | 2019 |
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 | 44 | 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 | 42 | 2011 |
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 | 40 | 2017 |
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 | 30 | 2014 |
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 | 29 | 2011 |
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 | 22 | 2015 |
Evolving weights and transfer functions in feed forward neural networks M Annunziato, I Bertini, M Lucchetti, S Pizzuti Proc. EUNITE2003, Oulu, Finland 200 (3), 2003 | 21 | 2003 |
Evolutionary feed-forward neural networks for traffic prediction M Annunziato, I Bertini, A Pannicelli, S Pizzuti Proc. International Congress on Evolutionary Methods for Design …, 2003 | 20 | 2003 |
Adaptive systems and evolutionary neural networks: a survey M Annunziato, M Lucchetti, S Pizzuti Proc. EUNITE02, Albufeira, Portugal, 2002 | 20 | 2002 |
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 | 19 | 2010 |
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 | 17 | 2020 |
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 | 17 | 2013 |
Start-up optimisation of a combined cycle power plant with multiobjective evolutionary algorithms I Bertini, M De Felice, F Moretti, S Pizzuti European Conference on the Applications of Evolutionary Computation, 151-160, 2010 | 17 | 2010 |