| A machine learning-based framework for clustering residential electricity load profiles to enhance demand response programs V Michalakopoulos, E Sarmas, I Papias, P Skaloumpakas, V Marinakis, ... Applied Energy 361, 122943, 2024 | 35 | 2024 |
| Data-driven building energy efficiency prediction using physics-informed neural networks V Michalakopoulos, S Pelekis, G Kormpakis, V Karakolis, S Mouzakitis, ... 2024 IEEE Conference on Technologies for Sustainability (SusTech), 84-91, 2024 | 7 | 2024 |
| Empowering federated learning techniques for privacy-preserving pv forecasting V Michalakopoulos, E Sarantinopoulos, E Sarmas, V Marinakis Energy Reports 12, 2244-2256, 2024 | 5 | 2024 |
| State-of-the-art analysis of artificial intelligence approaches in the maritime industry C Kontzinos, I Kanellou, V Michalakopoulos, S Mouzakitis, G Tsapelas, ... Proceedings of the International Conferences on Applied Computing 2022 and …, 2022 | 5 | 2022 |
| Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture L Ilias, G Tsapelas, P Kapsalis, V Michalakopoulos, G Kormpakis, ... Frontiers in Big Data 6, 1220348, 2023 | 4 | 2023 |
| The I-nergy reference architecture for the provision of next generation energy services through artificial intelligence E Karakolis, S Pelekis, S Mousakitis, G Kormpakis, V Michalakopoulos, ... Proceedings of the International Conferences on E-Society, 2023 | 3 | 2023 |
| Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain V Michalakopoulos, L Ilias, P Kapsalis, S Mouzakitis, D Askounis 2023 14th International Conference on Information, Intelligence, Systems …, 2023 | 2 | 2023 |
| Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges L Toderean, T Cioara, I Anghel, E Sarmas, V Michalakopoulos, ... Energy and Buildings, 115067, 2024 | 1 | 2024 |
| Hybrid Transformer Model with Liquid Neural Networks and Learnable Encodings for Buildings’ Energy Forecasting A Gabriel, T Cioara, I Anghel, I Papias, V Michalakopoulos, E Sarmas Energy and AI, 100489, 2025 | | 2025 |
| A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles V Michalakopoulos, E Sarmas, V Daropoulos, G Kazdaridis, S Keranidis, ... arXiv preprint arXiv:2411.16701, 2024 | | 2024 |
| Aggregated Flexibility Dynamic Forecasting of Residential Energy Prosumers for DR Programs I Papias, V Michalakopoulos, E Sarmas, V Marinakis 2024 15th International Conference on Information, Intelligence, Systems …, 2024 | | 2024 |
| Democratise energy through energy activated citizens and data-driven communities: The ENPOWER approach N Matsagkos, E Kanellou, A Fragkiadaki, V Michalakopoulos, V Marinakis, ... 2024 15th International Conference on Information, Intelligence, Systems …, 2024 | | 2024 |
| Resource-aware container orchestration on Fog Computing environments V Michalakopoulos | | 2021 |
Vangelis MarinakisAssistant Professor, School of Electrical & Computer Eng, National Technical University of AthensPotvrđena adresa e-pošte na epu.ntua.gr