Dr Fabiano Pallonetto

School of Business, Hamilton Institute

Lecturer/Assistant Professor

Biography

I have a wide experience in the energy, IT and transport sectors working as an entrepreneur, data scientist and researcher across different industries and disciplines. My academic background in Computer Science and Engineering and my industry experience in Energy, Sustainable Mobility, Data Analytics, Control Algorithms and Optimisation makes me a pivotal asset for research based and commercial data centric projects. My goal is bridging academic research to industrial needs applying my multidisciplinary industry and entrepreneurship experience to build solutions and solve technical challenges for the deployment and integration of the smart grid and its associated carbon footprint reduction and promoting Sustainable Development Goals.

Peer Reviewed Journals

  Year Publication
2020 'Environmental and economic benefits of building retrofit measures for the residential sector by utilizing sensor data and advanced calibrated models'
Pallonetto F.;De Rosa M.;Finn D.P. (2020) 'Environmental and economic benefits of building retrofit measures for the residential sector by utilizing sensor data and advanced calibrated models'. Advances in Building Energy Research, [DOI] [Details]
2020 'A framework for analysis and expansion of public charging infrastructure under fast penetration of electric vehicles'
Pallonetto F.;Galvani M.;Torti A.;Vantini S. (2020) 'A framework for analysis and expansion of public charging infrastructure under fast penetration of electric vehicles'. World Electric Vehicle Journal, 11 (1) [DOI] [Details]
2019 'SimApi, a smartgrid co-simulation software platform for benchmarking building control algorithms'
Pallonetto F.;Mangina E.;Milano F.;Finn D. (2019) 'SimApi, a smartgrid co-simulation software platform for benchmarking building control algorithms'. Softwarex, 9 :271-281 [DOI] [Details]
2019 'Demand response algorithms for smart-grid ready residential buildings using machine learning models'
Pallonetto F.;De Rosa M.;Milano F.;Finn D. (2019) 'Demand response algorithms for smart-grid ready residential buildings using machine learning models'. Applied Energy, 239 :1265-1282 [DOI] [Details]
2018 'Definition of a useful minimal-set of accurately-specified input data for Building Energy Performance Simulation'
Egan J.;Finn D.;Deogene Soares P.;Rocha Baumann V.;Aghamolaei R.;Beagon P.;Neu O.;Pallonetto F.;O'Donnell J. (2018) 'Definition of a useful minimal-set of accurately-specified input data for Building Energy Performance Simulation'. Energy and Buildings, 165 :172-183 [DOI] [Details]
2018 'A Genetic Algorithm for a Green Vehicle Routing Problem'
de Oliveira da Costa P.;Mauceri S.;Carroll P.;Pallonetto F. (2018) 'A Genetic Algorithm for a Green Vehicle Routing Problem'. Electronic Notes in Discrete Mathematics, 64 :65-74 [DOI] [Details]
2016 'The effect of time-of-use tariffs on the demand response flexibility of an all-electric smart-grid-ready dwelling'
Pallonetto, F;Oxizidis, S;Milano, F;Finn, D (2016) 'The effect of time-of-use tariffs on the demand response flexibility of an all-electric smart-grid-ready dwelling'. Energy and Buildings, 128 :56-67 [DOI] [Details]

Conference Publications

  Year Publication
2019 Self-Learning Control Algorithms for Energy Systems Integration in the Residential Building Sector
Bampoulas A.;Saffari M.;Pallonetto F.;Mangina E.;Finn D.P. (2019) Self-Learning Control Algorithms for Energy Systems Integration in the Residential Building Sector IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings , pp.815-818 [DOI] [Details]
2014 A RestFUL API to control a energy plus smart grid-ready residential building
Pallonetto F.;Mangina E.;Finn D.;Wang F.;Wang A. (2014) A RestFUL API to control a energy plus smart grid-ready residential building BuildSys 2014 - Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings , pp.180-181 [DOI] [Details]

Reviews

  Year Publication
2020 On the assessment and control optimisation of demand response programs in residential buildings.
Pallonetto F.;De Rosa M.;D'Ettorre F.;Finn D.P. (2020) On the assessment and control optimisation of demand response programs in residential buildings. Reviews [DOI] [Details]