Vasilis Michalakopoulos

Orcid: 0000-0002-3152-6342

According to our database1, Vasilis Michalakopoulos authored at least 15 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows.
CoRR, June, 2025

From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins.
CoRR, June, 2025

FLEXiT: A platform for estimating residential energy flexibility for aggregated & disaggregated demand-side management.
SoftwareX, 2025

A hyperparameter-space clustering methodology of residential electricity loads.
Appl. Soft Comput., 2025

A Meta-Learning Framework for Short-Term Wind Power Forecasting with SCADA and Weather Data.
Proceedings of the 16th International Conference on Information, 2025

Quantum Enhanced Energy Blockchain for Peer-to-Peer Trading.
Proceedings of the 16th International Conference on Information, 2025

Non-Intrusive Load Monitoring Using Cluster-Optimized Denoising Autoencoders.
Proceedings of the 16th International Conference on Information, 2025

A Key Performance Indicator Framework for Activated and Data-Driven Energy Communities.
Proceedings of the 16th International Conference on Information, 2025

2024
Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture.
Frontiers Big Data, 2024

A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles.
CoRR, 2024

Aggregated Flexibility Dynamic Forecasting of Residential Energy Prosumers for DR Programs.
Proceedings of the 15th International Conference on Information, 2024

Democratise Energy Through Energy Activated Citizens and Data-Driven Communities: The ENPOWER Approach.
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.
CoRR, 2023

A Machine Learning-Based Framework for Clustering Residential Electricity Load Profiles to Enhance Demand Response Programs.
CoRR, 2023

Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain.
Proceedings of the 14th International Conference on Information, 2023


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