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Adamantios Bampoulas
Adamantios Bampoulas
Postdoctoral Researcher, School of Computer Science, University College Dublin
Verified email at ucd.ie
Title
Cited by
Cited by
Year
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
622021
A bidirectional dual active bridge converter for V2G applications based on DC microgrid
I Skouros, A Bampoulas, A Karlis
2018 Thirteenth International Conference on Ecological Vehicles and …, 2018
212018
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
182022
Provision of frequency regulation by a residential microgrid integrating PVs, energy storage and electric vehicle
A Bampoulas, A Karlis
2017 IEEE International Conference on Environment and Electrical Engineering …, 2017
122017
Real‐time energy storage management system of a nanogrid integrating photovoltaics and V2G operation
A Bampoulas, A Karlis
The Journal of Engineering 2020 (1), 32-40, 2020
82020
A novel dynamic demand control of an electric vehicle integrated in a solar nanogrid with energy storage
A Bampoulas, A Karlis
2017 IEEE Energy Conversion Congress and Exposition (ECCE), 1410-1416, 2017
52017
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
42019
Modeling, simulation and performance evaluation of a low-speed battery electric vehicle
A Bampoulas, A Giannakis, S Tsaklidou, A Karlis
2016 Eleventh International Conference on Ecological Vehicles and Renewable …, 2016
42016
A Bayesian deep-learning framework for assessing the energy flexibility of residential buildings with multicomponent energy systems
A Bampoulas, F Pallonetto, E Mangina, DP Finn
Applied Energy 348, 121576, 2023
22023
Quantification and characterization of energy flexibility in the residential building sector
A Bampoulas, M Saffari, F Pallonetto, M De Rosa, E Mangina, DP Finn
16th IBPSA International Conference and Exhibition, Rome, Italy, 2019
22019
A study on the dynamic behavior of a DFIG with sensorless-based control in cooperation with a fuzzy controlled energy storage system
A Giannakis, A Bampoulas, A Karlis
2016 IEEE Industry Applications Society Annual Meeting, 1-8, 2016
22016
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
12020
Analysis of Electricity Usage for Households with Electric Vehicles and Photovoltaics in the UK* Note: Sub-Titles are Not Captured in Xplore and Should Not be Used
D Scully, A Bampoulas, E Mangina
2023 58th International Universities Power Engineering Conference (UPEC), 1-6, 2023
2023
A Data-driven Framework for Quantifying and Characterising the Energy Flexibility of Residential Buildings
A Bampoulas
University College Dublin, 2022
2022
A machine learning-based methodology for harnessing the energy flexibility potential of residential buildings
A Bampoulas, F Pallonetto, E Mangina, DP Finn
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