Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain. - Vasilis Michalakopoulos; Loukas Ilias; Panagiotis Kapsalis; Spiros Mouzakitis; Dimitris Askounis (IISA, 2023)

A Machine Learning-Based Framework for Clustering Residential Electricity Load Profiles to Enhance Demand Response Programs. - Vasilis Michalakopoulos; Elissaios Sarmas; Ioannis Papias; Panagiotis Skaloumpakas; Vangelis Marinakis; Haris Ch. Doukas (CoRR, 2023)

Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks. - Vasilis Michalakopoulos; Sotiris Pelekis; Giorgos Kormpakis; Vagelis Karakolis; Spiros Mouzakitis; Dimitris Askounis (CoRR, 2023)

Democratise Energy Through Energy Activated Citizens and Data-Driven Communities: The ENPOWER Approach. - Nektarios Matsagkos; Eleni Kanellou; Afroditi Fragkiadaki; Vasilis Michalakopoulos; Vangelis Marinakis; Haris Ch. Doukas (IISA, 2024)

Aggregated Flexibility Dynamic Forecasting of Residential Energy Prosumers for DR Programs. - Ioannis Papias; Vasilis Michalakopoulos; Elissaios Sarmas; Vangelis Marinakis (IISA, 2024)

A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles. - Vasilis Michalakopoulos; Elissaios Sarmas; Viktor Daropoulos; Giannis Kazdaridis; Stratos Keranidis; Vangelis Marinakis; Dimitris Askounis (CoRR, 2024)

Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture. - Loukas Ilias; Giannis Tsapelas; Panagiotis Kapsalis; Vasilis Michalakopoulos; Giorgos Kormpakis; Spiros Mouzakitis; Dimitris Askounis (Frontiers Big Data, 2024)

A hyperparameter-space clustering methodology of residential electricity loads. - Vasilis Michalakopoulos; Ioannis Papias; Efstathios Sarantinopoulos; Elissaios Sarmas; Vangelis Marinakis; Dimitris Askounis (Appl. Soft Comput., 2025)

From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins. - Gabriel Antonesi; Tudor Cioara; Ionut Anghel; Vasilis Michalakopoulos; Elissaios Sarmas; Liana Toderean (CoRR, 2025)

Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows. - Vasilis Michalakopoulos; Christoforos Menos-Aikateriniadis; Elissaios Sarmas; Antonis Zakynthinos; Pavlos S. Georgilakis; Dimitris Askounis (CoRR, 2025)