Paolo SCARABAGGIO


Short bio

Paolo Scarabaggio received the B.Sc. degree in Mechanical Engineering and the M.Sc. degree in Management Engineering from the Politecnico di Bari, Bari, Italy.

He is currently working toward the Ph.D. degree in the Department of Electrical and Information Engineering of the same university under the supervision of Prof. Engr. Mariagrazia Dotoli.

His research interests include modeling, optimization, and control of energy distribution systems, distributed control systems, and model predictive control.

Research interests

  • energy storage systems
  • stochastic optimization
  • game theory
  • smart grids

Publications

2020

  • [DOI] P. Scarabaggio, M. La Scala, R. Carli, and M. Dotoli, “Analyzing the effects of covid-19 pandemic on the energy demand: the case of northern italy.” 2020.
    [Bibtex]
    @CONFERENCE{Scarabaggio2020,
    author={Scarabaggio, P. and La Scala, M. and Carli, R. and Dotoli, M.},
    title={Analyzing the Effects of COVID-19 Pandemic on the Energy Demand: The Case of Northern Italy},
    journal={12th AEIT International Annual Conference, AEIT 2020},
    year={2020},
    doi={10.23919/AEIT50178.2020.9241136},
    art_number={9241136},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097170993&doi=10.23919%2fAEIT50178.2020.9241136&partnerID=40&md5=a3abf95802bb66dc9a2d8715976cc126},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] P. Scarabaggio, R. Carli, G. Cavone, and M. Dotoli, “Smart control strategies for primary frequency regulation through electric vehicles: a battery degradation perspective,” Energies, vol. 13, iss. 17, 2020.
    [Bibtex]
    @ARTICLE{Scarabaggio2020,
    author={Scarabaggio, P. and Carli, R. and Cavone, G. and Dotoli, M.},
    title={Smart control strategies for primary frequency regulation through electric vehicles: A battery degradation perspective},
    journal={Energies},
    year={2020},
    volume={13},
    number={17},
    doi={10.3390/en13174586},
    art_number={4586},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090919511&doi=10.3390%2fen13174586&partnerID=40&md5=d7f07f0a819d149b5f1c143b707e731d},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] P. Scarabaggio, R. Carli, and M. Dotoli, “A game-theoretic control approach for the optimal energy storage under power flow constraints in distribution networks.” 2020, pp. 1281-1286.
    [Bibtex]
    @CONFERENCE{Scarabaggio20201281,
    author={Scarabaggio, P. and Carli, R. and Dotoli, M.},
    title={A game-theoretic control approach for the optimal energy storage under power flow constraints in distribution networks},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2020},
    volume={2020-August},
    pages={1281-1286},
    doi={10.1109/CASE48305.2020.9216800},
    art_number={9216800},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094128798&doi=10.1109%2fCASE48305.2020.9216800&partnerID=40&md5=e4802c482f96ac90afd6c7a2c7f2b199},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] P. Scarabaggio, R. Carli, and M. Dotoli, “A fast and effective algorithm for influence maximization in large-scale independent cascade networks.” 2020, pp. 639-644.
    [Bibtex]
    @CONFERENCE{Scarabaggio2020639,
    author={Scarabaggio, P. and Carli, R. and Dotoli, M.},
    title={A fast and effective algorithm for influence maximization in large-scale independent cascade networks},
    journal={7th International Conference on Control, Decision and Information Technologies, CoDIT 2020},
    year={2020},
    pages={639-644},
    doi={10.1109/CoDIT49905.2020.9263914},
    art_number={9263914},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098236199&doi=10.1109%2fCoDIT49905.2020.9263914&partnerID=40&md5=003f7d44f921ecd0bf436dacb2d3e136},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] R. Carli, G. Cavone, N. Epicoco, P. Scarabaggio, and M. Dotoli, “Model predictive control to mitigate the covid-19 outbreak in a multi-region scenario,” Annual reviews in control, vol. 50, pp. 373-393, 2020.
    [Bibtex]
    @ARTICLE{Carli2020373,
    author={Carli, R. and Cavone, G. and Epicoco, N. and Scarabaggio, P. and Dotoli, M.},
    title={Model predictive control to mitigate the COVID-19 outbreak in a multi-region scenario},
    journal={Annual Reviews in Control},
    year={2020},
    volume={50},
    pages={373-393},
    doi={10.1016/j.arcontrol.2020.09.005},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097753585&doi=10.1016%2fj.arcontrol.2020.09.005&partnerID=40&md5=adce49e71a999948867e93de3ae2e142},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] R. Carli, G. Cavone, N. Epicoco, M. Di Ferdinando, P. Scarabaggio, and M. Dotoli, “Consensus-based algorithms for controlling swarms of unmanned aerial vehicles,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 12338 LNCS, pp. 84-99, 2020.
    [Bibtex]
    @ARTICLE{Carli202084,
    author={Carli, R. and Cavone, G. and Epicoco, N. and Di Ferdinando, M. and Scarabaggio, P. and Dotoli, M.},
    title={Consensus-Based Algorithms for Controlling Swarms of Unmanned Aerial Vehicles},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2020},
    volume={12338 LNCS},
    pages={84-99},
    doi={10.1007/978-3-030-61746-2_7},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093852465&doi=10.1007%2f978-3-030-61746-2_7&partnerID=40&md5=1c7da6000e4015880227c1eafe608f20},
    document_type={Conference Paper},
    source={Scopus},
    }

2019

  • [DOI] R. Carli, G. Cavone, M. Dotoli, N. Epicoco, and P. Scarabaggio, “Model predictive control for thermal comfort optimization in building energy management systems.” 2019, pp. 2608-2613.
    [Bibtex]
    @CONFERENCE{Carli20192608,
    author={Carli, R. and Cavone, G. and Dotoli, M. and Epicoco, N. and Scarabaggio, P.},
    title={Model predictive control for thermal comfort optimization in building energy management systems},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2019},
    volume={2019-October},
    pages={2608-2613},
    doi={10.1109/SMC.2019.8914489},
    art_number={8914489},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076778873&doi=10.1109%2fSMC.2019.8914489&partnerID=40&md5=3c982fb93adbcfb5202b48b60ad0f22d},
    document_type={Conference Paper},
    source={Scopus},
    }