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ORCIDVasilis Michalakopoulos
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2020 – today
- 2025
[j3]Vasilis Michalakopoulos
, Ioannis Papias, Efstathios Sarantinopoulos, Elissaios Sarmas, Vangelis Marinakis, Dimitris Askounis:
A hyperparameter-space clustering methodology of residential electricity loads. Appl. Soft Comput. 181: 113497 (2025)- [j2]Ioannis Papias, Efstathios Sarantinopoulos, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis:
FLEXiT: A platform for estimating residential energy flexibility for aggregated & disaggregated demand-side management. SoftwareX 32: 102433 (2025) - [c7]Nektarios Matsagkos, Eleni Kanellou, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Vangelis Marinakis:
A Key Performance Indicator Framework for Activated and Data-Driven Energy Communities. IISA 2025: 1-8 - [c6]Ioannis Papias, Vasilis Michalakopoulos, Dimitra Karoutsou, Elissaios Sarmas, Nikos Dimitropoulos, Vangelis Marinakis, Marion Paraschi, Dimitris I. Chatzigiannis:
Non-Intrusive Load Monitoring Using Cluster-Optimized Denoising Autoencoders. IISA 2025: 1-8 - [c5]Liana Toderean, Mihai Petre Daian, Tudor Cioara, Alin Suciu, Ionut Anghel, Vasilis Michalakopoulos, Elissaios Sarmas:
Quantum Enhanced Energy Blockchain for Peer-to-Peer Trading. IISA 2025: 1-8 - [c4]Antonis Zakynthinos, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis:
A Meta-Learning Framework for Short-Term Wind Power Forecasting with SCADA and Weather Data. IISA 2025: 1-8 - [i5]Gabriel Antonesi, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Elissaios Sarmas, Liana Toderean:
From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins. CoRR abs/2506.06359 (2025) - [i4]Vasilis Michalakopoulos, Christoforos Menos-Aikateriniadis, Elissaios Sarmas, Antonis Zakynthinos, Pavlos S. Georgilakis, Dimitris Askounis:
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows. CoRR abs/2506.10536 (2025) - 2024
- [j1]Loukas Ilias, Giannis Tsapelas, Panagiotis Kapsalis, Vasilis Michalakopoulos, Giorgos Kormpakis, Spiros Mouzakitis, Dimitris Askounis:
Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture. Frontiers Big Data 6 (2024) - [c3]Nektarios Matsagkos, Eleni Kanellou, Afroditi Fragkiadaki, Vasilis Michalakopoulos, Vangelis Marinakis, Haris Ch. Doukas:
Democratise Energy Through Energy Activated Citizens and Data-Driven Communities: The ENPOWER Approach. IISA 2024: 1-8 - [c2]Ioannis Papias, Vasilis Michalakopoulos, Elissaios Sarmas, Vangelis Marinakis:
Aggregated Flexibility Dynamic Forecasting of Residential Energy Prosumers for DR Programs. IISA 2024: 1-9 - [i3]Vasilis Michalakopoulos, Elissaios Sarmas, Viktor Daropoulos, Giannis Kazdaridis, Stratos Keranidis, Vangelis Marinakis, Dimitris Askounis:
A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles. CoRR abs/2411.16701 (2024) - 2023
- [c1]Vasilis Michalakopoulos, Loukas Ilias, Panagiotis Kapsalis, Spiros Mouzakitis, Dimitris Askounis:
Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain. IISA 2023: 1-4 - [i2]Vasilis Michalakopoulos, Elissaios Sarmas, Ioannis Papias, Panagiotis Skaloumpakas, Vangelis Marinakis, Haris Ch. Doukas:
A Machine Learning-Based Framework for Clustering Residential Electricity Load Profiles to Enhance Demand Response Programs. CoRR abs/2310.20367 (2023) - [i1]Vasilis Michalakopoulos, Sotiris Pelekis, Giorgos Kormpakis, Vagelis Karakolis, Spiros Mouzakitis, Dimitris Askounis:
Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks. CoRR abs/2311.08035 (2023)
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