Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture
Ilias, Loukas, Tsapelas, Giannis, Kapsalis, Panagiotis, Michalakopoulos, Vasilis, Kormpakis, Giorgos, Mouzakitis, Spiros, Askounis, Dimitris
Published in Frontiers in big data (27.07.2023)
Published in Frontiers in big data (27.07.2023)
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Journal Article
A machine learning-based framework for clustering residential electricity load profiles to enhance demand response programs
Michalakopoulos, Vasilis, Sarmas, Elissaios, Papias, Ioannis, Skaloumpakas, Panagiotis, Marinakis, Vangelis, Doukas, Haris
Published in Applied energy (01.05.2024)
Published in Applied energy (01.05.2024)
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Journal Article
Empowering federated learning techniques for privacy-preserving PV forecasting
Michalakopoulos, Vasilis, Sarantinopoulos, Efstathios, Sarmas, Elissaios, Marinakis, Vangelis
Published in Energy reports (01.12.2024)
Published in Energy reports (01.12.2024)
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Journal Article
Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain
Michalakopoulos, Vasilis, Ilias, Loukas, Kapsalis, Panagiotis, Mouzakitis, Spiros, Askounis, Dimitris
Published in 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA) (10.07.2023)
Published in 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA) (10.07.2023)
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Conference Proceeding
Data-driven building energy efficiency prediction using physics-informed neural networks
Michalakopoulos, Vasilis, Pelekis, Sotiris, Kormpakis, Giorgos, Karakolis, Vagelis, Mouzakitis, Spiros, Askounis, Dimitris
Published in 2024 IEEE Conference on Technologies for Sustainability (SusTech) (14.04.2024)
Published in 2024 IEEE Conference on Technologies for Sustainability (SusTech) (14.04.2024)
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Conference Proceeding
Data-driven building energy efficiency prediction using physics-informed neural networks
Michalakopoulos, Vasilis, Pelekis, Sotiris, Kormpakis, Giorgos, Karakolis, Vagelis, Mouzakitis, Spiros, Askounis, Dimitris
Published in arXiv.org (25.04.2024)
Published in arXiv.org (25.04.2024)
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Paper
Journal Article
A Machine Learning-Based Framework for Clustering Residential Electricity Load Profiles to Enhance Demand Response Programs
Michalakopoulos, Vasilis, Sarmas, Elissaios, Papias, Ioannis, Skaloumpakas, Panagiotis, Marinakis, Vangelis, Doukas, Haris
Year of Publication 31.10.2023
Year of Publication 31.10.2023
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Journal Article
A Machine Learning-Based Framework for Clustering Residential Electricity Load Profiles to Enhance Demand Response Programs
Michalakopoulos, Vasilis, Sarmas, Elissaios, Papias, Ioannis, Skaloumpakas, Panagiotis, Marinakis, Vangelis, Doukas, Haris
Published in arXiv.org (31.10.2023)
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Published in arXiv.org (31.10.2023)
Paper