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Simone Eiraudo
Simone Eiraudo
Ph.D. Student, Energy Center Lab, Politecnico di Torino
Verified email at polito.it
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Cited by
Cited by
Year
A machine learning based methodology for load profiles clustering and non-residential buildings benchmarking
S Eiraudo, L Barbierato, R Giannantonio, A Porta, A Lanzini, ...
IEEE Transactions on Industry Applications, 2023
62023
Non-intrusive load disaggregation of industrial cooling demand with LSTM neural network
S Eiraudo, L Barbierato, R Giannantonio, E Patti, A Lanzini, L Bottaccioli
2022 IEEE International Conference on Environment and Electrical Engineering …, 2022
32022
A machine learning-based Anomaly Detection Framework for building electricity consumption data
L Mascali, DS Schiera, S Eiraudo, L Barbierato, R Giannantonio, E Patti, ...
Sustainable Energy, Grids and Networks 36, 101194, 2023
22023
A neural network-based methodology for non-intrusive energy audit of telecom sites
S Eiraudo, L Barbierato, R Giannantonio, E Patti, L Bottaccioli, A Lanzini
2022 International Conference on Smart Energy Systems and Technologies (SEST …, 2022
22022
Load profiles clustering and knowledge extraction to assess actual usage of telecommunication sites
S Eiraudo, L Barbierato, R Giannantonio, A Porta, A Lanzini, ...
2021 IEEE International Conference on Environment and Electrical Engineering …, 2021
22021
Designing Logic Tensor Networks for Visual Sudoku puzzle classification
L Morra, A Azzari, L Bergamasco, M Braga, L Capogrosso, F Delrio, ...
17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy …, 2023
12023
Synthetic ground truth generation of an electricity consumption dataset
L Mascali, S Eiraudo, L Barbierato, DS Schiera, R Giannantonio, E Patti, ...
2022 International Conference on Smart Energy Systems and Technologies (SEST …, 2022
12022
Neural network-based energy signatures for non-intrusive energy audit of buildings: Methodological approach and a real-world application
S Eiraudo, DS Schiera, L Mascali, L Barbierato, R Giannantonio, E Patti, ...
Sustainable Energy, Grids and Networks 36, 101203, 2023
2023
Machine Learning and ArtificialIntelligence techniques for data-informed energy efficiency management in thetelecommunication sector
S Eiraudo
Politecnico di Torino, 2021
2021
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