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Fabiano Pallonetto
Fabiano Pallonetto
Professor in Management Information Systems at Maynooth University Ireland
Verified email at mu.ie - Homepage
Title
Cited by
Cited by
Year
Demand response algorithms for smart-grid ready residential buildings using machine learning models
F Pallonetto, M De Rosa, F Milano, DP Finn
Applied energy 239, 1265-1282, 2019
1642019
On the assessment and control optimisation of demand response programs in residential buildings
F Pallonetto, M De Rosa, F D’Ettorre, DP Finn
Renewable and Sustainable Energy Reviews 127, 109861, 2020
1182020
The effect of time-of-use tariffs on the demand response flexibility of an all-electric smart-grid-ready dwelling
F Pallonetto, S Oxizidis, F Milano, D Finn
Energy and Buildings 128, 56-67, 2016
1142016
A genetic algorithm for a green vehicle routing problem
PRO da Costa, S Mauceri, P Carroll, F Pallonetto
Electronic notes in discrete mathematics 64, 65-74, 2018
962018
Diversification, concentration and renewability of the energy supply in the European Union
M De Rosa, K Gainsford, F Pallonetto, DP Finn
Energy 253, 124097, 2022
762022
Forecast electricity demand in commercial building with machine learning models to enable demand response programs
F Pallonetto, C Jin, E Mangina
Energy and AI 7, 100121, 2022
672022
A fundamental unified framework to quantify and characterise energy flexibility of residential buildings with multiple electrical and thermal energy systems
A Bampoulas, M Saffari, F Pallonetto, E Mangina, DP Finn
Applied Energy 282, 116096, 2021
642021
Definition of a useful minimal-set of accurately-specified input data for Building Energy Performance Simulation
J Egan, D Finn, PHD Soares, VAR Baumann, R Aghamolaei, P Beagon, ...
Energy and Buildings 165, 172-183, 2018
502018
High resolution space-time data: Methodology for residential building simulation modelling
O Neu, S Oxizidis, D Flynn, F Pallonetto, D Finn
Wurtz, E.(ed.). Proceedings of BS2013: 13th Conference of International …, 2013
352013
SimApi, a smartgrid co-simulation software platform for benchmarking building control algorithms
F Pallonetto, E Mangina, F Milano, DP Finn
SoftwareX 9, 271-281, 2019
282019
Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives
H Li, H Johra, F de Andrade Pereira, T Hong, J Le Dréau, A Maturo, ...
Applied Energy 343, 121217, 2023
262023
Impact of intelligent control algorithms on demand response flexibility and thermal comfort in a smart grid ready residential building
F Pallonetto, M De Rosa, DP Finn
Smart Energy 2, 100017, 2021
262021
An ensemble learning-based framework for assessing the energy flexibility of residential buildings with multicomponent energy systems
A Bampoulas, F Pallonetto, E Mangina, DP Finn
Applied Energy 315, 118947, 2022
192022
Spine Toolbox: A flexible open-source workflow management system with scenario and data management
J Kiviluoma, F Pallonetto, M Marin, PT Savolainen, A Soininen, ...
SoftwareX 17, 100967, 2022
192022
Environmental and economic benefits of building retrofit measures for the residential sector by utilizing sensor data and advanced calibrated models
F Pallonetto, M De Rosa, DP Finn
Advances in Building Energy Research 16 (1), 89-117, 2022
162022
A framework for analysis and expansion of public charging infrastructure under fast penetration of electric vehicles
F Pallonetto, M Galvani, A Torti, S Vantini
World Electric Vehicle Journal 11 (1), 18, 2020
162020
A restful API to control a energy plus smart grid-ready residential building: demo abstract
F Pallonetto, E Mangina, D Finn, F Wang, A Wang
Proceedings of the 1st ACM conference on embedded systems for energy …, 2014
142014
Cognitive engagement with AI‐enabled technologies and value creation in healthcare
P Kumar, D Vrontis, F Pallonetto
Journal of Consumer Behaviour 23 (2), 389-404, 2024
92024
Technologies and Strategies to Support Energy Transition in Urban Building and Transportation Sectors
M De Rosa, V Bianco, H Barth, P Pereira da Silva, C Vargas Salgado, ...
Energies 16 (11), 4317, 2023
92023
Enhancing the efficiency of electric vehicles charging stations based on novel fuzzy integer linear programming
S Hussain, RR Irshad, F Pallonetto, Q Jan, S Shukla, S Thakur, JG Breslin, ...
IEEE Transactions on Intelligent Transportation Systems 24 (9), 9150-9164, 2023
82023
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