Fabiano Pallonetto
Fabiano Pallonetto
Assistant 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
662019
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
652016
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
442018
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
322018
High resolution space-time data: Methodology for residential building simulation modelling
O Neu, S Oxizidis, D Flynn, F Pallonetto, D Finn
13th International Building Performance Simulation Association (Building …, 2013
312013
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
222020
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
162019
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
132014
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
62021
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
32020
Self-learning control algorithms for energy systems integration in the residential building sector
A Bampoulas, M Saffari, F Pallonetto, E Mangina, DP Finn
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 815-818, 2019
32019
Demand response optimisation of all-electric residential buildings in a dynamic grid environment: Irish case study
F Pallonetto, S Oxizidis, R Duignan, O Neu, D Finn
13th Conference of the International Building Performance Simulation …, 2013
32013
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, 1-29, 2020
22020
Lessons learned from the use of the SlideWiki OpenCourseWare platform in different learning contexts
A Mikroyannidis, F Pallonetto, E Mangina, N Pyrini, M Šadauskas, ...
IATED, 2018
22018
Exploring the demand response potential of a smart-grid ready house using building simulation software
F Pallonetto, S Oxizidis, D Finn
IBPSA building simulation conference, 2013
22013
Quantification and characterization of energy flexibility in the residential building sector
A Bampoulas, M Saffari, F Pallonetto, M De Rosa, E Mangina, D Finn
The 16th International Building Performance Simulation Association (IBPSA …, 2019
12019
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
2021
Smart Energy
F Pallonetto, M De Rosa, DP Finn
2021
A Generic Energy Flexibility Evaluation Framework to Characterise the Demand Response Potential of Residential Buildings
A Bampoulas, M Saffari, F Pallonetto, E Mangina, D Finn
The 2020 Building Performance Analysis Conference & SimBuild Co-organized by …, 2020
2020
A self-learning energy management system for a smart-grid-ready residential building.
F Pallonetto, Y Turenshenko, EE Mangina, DP Finn
SimuTools, 365-370, 2015
2015
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