| 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 | 193 | 2019 |
| 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 | 142 | 2020 |
| 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 | 128 | 2016 |
| 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 | 124 | 2022 |
| 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 | 109 | 2018 |
| 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 | 104 | 2022 |
| 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 | 85 | 2021 |
| 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 | 79 | 2023 |
| 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 | 54 | 2018 |
| 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 | 40 | 2021 |
| 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 | 38 | 2013 |
| 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 | 31 | 2022 |
| 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 | 31 | 2019 |
| 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 | 30 | 2022 |
| 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 | 22 | 2020 |
| 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 | 19 | 2022 |
| 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 | 17 | 2024 |
| 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 | 15 | 2023 |
| 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 | 15 | 2014 |
| Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles S Hussain, RR Irshad, F Pallonetto, I Hussain, Z Hussain, M Tahir, ... Applied Energy 352, 121939, 2023 | 14 | 2023 |
Donal FinnUniversity College DublinVerifisert e-postadresse på ucd.ie