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 | 22 | 2023 |
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 Brattebø, N Nord Energy Conversion and Management 269, 116163, 2022 | 20 | 2022 |
Consensus with preserved privacy against neighbor collusion S Zhang, T Ohlson Timoudas, MA Dahleh Control Theory and Technology 18, 409-418, 2020 | 11 | 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 | 11 | 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 | 10 | 2023 |
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 | 9 | 2021 |
Sharp -Hölder continuity of the Lyapunov exponent at the bottom of the spectrum for a class of Schrödinger cocycles JL Figueras, TO Timoudas Discrete and continuous dynamical systems 40 (7), 4519-4531, 2020 | 7 | 2020 |
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 | 6 | 2023 |
Power law asymptotics in the creation of strange attractors in the quasi-periodically forced quadratic family TO Timoudas Nonlinearity 30 (12), 4483, 2017 | 6 | 2017 |
Network Consensus with Privacy: A Secret Sharing Method S Zhang, TO Timoudas, M Dahleh arXiv preprint arXiv:2103.03432, 2021 | 4 | 2021 |
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 |
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 | 2 | 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 | 2 | 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 | 1 | 2024 |
Cliffhanger: An Experimental Evaluation of Stateful Serverless at the Edge A Hasselberg, TO Timoudas, P Carbone, G Dán 2024 19th Wireless On-Demand Network Systems and Services Conference (WONS …, 2024 | 1 | 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 |