Vasilis Michalakopoulos

According to our database, Vasilis Michalakopoulos authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 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, June, 2025

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

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 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

Aggregated Flexibility Dynamic Forecasting of Residential Energy Prosumers for DR Programs.

Ioannis Papias, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis

Proceedings of the 15th International Conference on Information, 2024

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

Proceedings of the 15th International Conference on Information, 2024

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

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

Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain.

Vasilis Michalakopoulos, Loukas Ilias, Panagiotis Kapsalis, Spiros Mouzakitis, Dimitris Askounis

Proceedings of the 14th International Conference on Information, 2023