A study on data-driven hybrid heating load prediction methods in low-temperature district heating: An example for nursing homes in Nordic countries Y Ding, TO Timoudas, Q Wang, S Chen, H Brattebř, N Nord
Energy Conversion and Management 269, 116163, 2022
15 2022 A review of reinforcement learning for controlling building energy systems from a computer science perspective D Weinberg, Q Wang, TO Timoudas, C Fischione
Sustainable cities and society 89, 104351, 2023
12 2023 Consensus with preserved privacy against neighbor collusion S Zhang, T Ohlson Timoudas, MA Dahleh
Control Theory and Technology 18, 409-418, 2020
9 2020 Comparing backscatter communication and energy harvesting in massive IoT networks R Du, TO Timoudas, C Fischione
IEEE Transactions on Wireless Communications 21 (1), 429-443, 2021
8 2021 Sharp JL Figueras, TO Timoudas
Discrete and continuous dynamical systems 40 (7), 4519-4531, 2020
7 2020 Enabling Massive IoT in Ambient Backscatter Communication Systems TO Timoudas, R Du, C Fischione
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
7 2020 A hybrid machine learning approach for the load prediction in the sustainable transition of district heating networks M Habib, TO Timoudas, Y Ding, N Nord, S Chen, Q Wang
Sustainable cities and society 99, 104892, 2023
5 2023 Power law asymptotics in the creation of strange attractors in the quasi-periodically forced quadratic family TO Timoudas
Nonlinearity 30 (12), 4483, 2017
5 2017 COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum P Townend, AP Martí, I De La Iglesia, N Matskanis, TO Timoudas, ...
2023 IEEE International Conference on Edge Computing and Communications …, 2023
3 2023 Asymptotic laws for a class of quasi-periodic Schr\" odinger cocycles at the lowest energy of the spectrum TO Timoudas
arXiv preprint arXiv:1809.05418, 2018
3 2018 Network Consensus with Privacy: A Secret Sharing Method S Zhang, TO Timoudas, M Dahleh
arXiv preprint arXiv:2103.03432, 2021
2 2021 A novel machine learning approach to predict short-term energy load for future low-temperature district heating TO Timoudas, Y Ding, Q Wang
CLIMA 2022 conference, 2022
1 2022 A novel machine learning approach to predict short-term energy load for future low-temperature district heating TO Timoudas, Y Ding, Q Wang
The REHVA European HVAC Journal, 19-24, 2022
1 2022 Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI A Pirinen, N Abid, NA Paszkowsky, TO Timoudas, R Scheirer, ...
Remote Sensing 16 (4), 694, 2024
2024 A General Framework to Distribute Iterative Algorithms with Localized Information over Networks TO Timoudas, S Zhang, S Magnússon, C Fischione
IEEE Transactions on Automatic Control, 2023
2023 Creating and Benchmarking a Synthetic Dataset for Machine Learning-Based Cloud Optical Thickness Estimation A Pirinen, N Abid, N Agues Paszkowsky, T Ohlson Timoudas, R Scheirer, ...
EUMETSAT Meteorological Satellite Conference, 2023., 2023
2023 Cliffhanger: An Experimental Evaluation of Stateful Serverless at the Edge A Hasselberg, TO Timoudas, P Carbone, G Dán
