Akylas Stratigakos Research Associate

Identifiants chercheurs

IdHAL :

akylas-stratigakos

ORCID :

0000-0002-9954-5558

Présentation

Hi, welcome to my profile! I am currently a Research Associate at Imperial College London working on data-driven methods to enabling 100% renewable-based power systems. Before that, I was a PhD candidate at Center PERSEE, Mines Paris, PSL University, working on energy analytics to improve decision-making in power systems.

My research interests are on the intersection of machine learning, forecasting, and optimization tools to enable power systems to cope with the uncertainty introduced by the large-scale penetration of renewables. I enjoy participating in data science challenges, mostly related to energy forecasting. If you want to collaborate, feel free to contact me!

Publications

Article dans une revue (6)

Interpretable Machine Learning for DC Optimal Power Flow with Feasibility Guarantees Akylas Stratigakos,Salvador Pineda,Juan Miguel Morales,Georges Kariniotakis IEEE Transactions on Power Systems, 2024, 39 (3), pp.5126 - 5137. ⟨10.1109/TPWRS.2023.3333165⟩ Article dans une revue hal-04038380v4
Towards Resilient Energy Forecasting: A Robust Optimization Approach Akylas Stratigakos,Panagiotis Andrianesis,Andrea Michiorri,Georges Kariniotakis IEEE Transactions on Smart Grid, 2023, 15 (1), pp.874 - 885. ⟨10.1109/TSG.2023.3272379⟩ Article dans une revue hal-03792191v3
Flexibility study of the Greek power system using a stochastic programming approach for estimating reserve requirements Konstantinos Krommydas,Christos Dikaiakos,George Papaioannou,Akylas Stratigakos Electric Power Systems Research, 2022, 213, pp.108620. ⟨10.1016/j.epsr.2022.108620⟩ Article dans une revue hal-03774566v1
A Novel Modular Mobile Power Flow Controller for Real-Time Congestion Management Tested on a 150kV Transmission System Konstantinos Krommydas,Akylas Stratigakos,Christos Dikaiakos,George Papaioannou,Martin Joneset al. IEEE Access, 2022, pp.1-1. ⟨10.1109/ACCESS.2022.3205589⟩ Article dans une revue hal-03777007v1
Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy Akylas Stratigakos,Simon Camal,Andrea Michiorri,Georges Kariniotakis IEEE Transactions on Power Systems, 2022, 37 (6), pp.4696 - 4708. ⟨10.1109/TPWRS.2022.3152667⟩ Article dans une revue hal-03330017v3
Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks Akylas Stratigakos,Athanasios Bachoumis,Vasiliki Vita,Elias Zafiropoulos Energies, 2021, 14 (14), pp.4107. ⟨10.3390/en14144107⟩ Article dans une revue hal-03330926v1

Communication dans un congrès (8)

Resilient Feature-driven Trading of Renewable Energy with Missing Data Matias Kühnau,Akylas Stratigakos,Simon Camal,Samuel Chevalier,Georges Kariniotakis IEEE PES ISGT Europe 2023, IEEE Power & Energy Society (PES), Université Grenoble Alpes,, Oct 2023, Grenoble, France Communication dans un congrès hal-04210488v1
End-to-end Learning for Hierarchical Forecasting of Renewable Energy Production with Missing Values Akylas Stratigakos,Dennis van Der Meer,Simon Camal,Georges Kariniotakis 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom. ⟨10.1109/PMAPS53380.2022.9810610⟩ Communication dans un congrès hal-03527644v3
Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy Akylas Stratigakos,Simon Camal,Andrea Michiorri,Georges Kariniotakis 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom Communication dans un congrès hal-03718662v1
Highlight results of the Smart4RES project on weather modelling and forecasting dedicated to renewable energy applications Georges Kariniotakis,Simon Camal,Dennis van Der Meer,Akylas Stratigakos,Gregor Giebelet al. EGU General Assembly 2022, May 2022, Vienna, Austria. pp.EGU22-12923, ⟨10.5194/egusphere-egu22-12923⟩ Communication dans un congrès hal-03620444v1
Making Energy Forecasting Resilient to Missing Features: a Robust Optimization Approach Akylas Stratigakos,Panagiotis Andrianesis,Andrea Michiorri,Georges Kariniotakis 42nd International Symposium on Forecasting, Jul 2022, Oxford, United Kingdom Communication dans un congrès hal-03718668v1
A robust fix-and-optimize matheuristic for timetabling problems with uncertain renewable energy production Akylas Stratigakos IEEE Symposium Series on Computational Intelligence 2021, IEEE, Dec 2021, Orlando, United States Communication dans un congrès hal-03449920v1
Short-term trading of wind energy production using data-driven prescriptive optimization Akylas Stratigakos,S Camal,T Blondel,Georges Kariniotakis Wind Energy Science Conference, May 2021, Hannover, Germany Communication dans un congrès hal-03238445v1
A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation Akylas Stratigakos,Andrea Michiorri,Georges Kariniotakis 2021 IEEE Madrid PowerTech, IEEE, Jun 2021, Madrid, Spain Communication dans un congrès hal-03208575v1

Poster de conférence (2)

Interpretable Machine Learning for DC Optimal Power Flow with Feasibility Guarantees Akylas Stratigakos,Georges Kariniotakis,Salvador Pineda,Juan Miguel Morales 2024 IEEE Power & Energy Society General Meeting (PESGM), Jul 2024, Seattle, Washington, United States. IEEE, pp.1-1, 2024, ⟨10.1109/PESGM51994.2024.10688644⟩ Poster de conférence hal-04731370v1
Next Generation Forecasting Solutions for Wind Energy – Results from the Smart4RES Project Georges Kariniotakis,Simon Camal,Dennis van Der Meer,Konstantinos Parginos,Lucas Santosuossoet al. WindEurope Annual Event 2023, Apr 2023, Copenhagen, Denmark. 2023 Poster de conférence hal-04162071v1

Pré-publication, Document de travail (6)

Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing Data Akylas Stratigakos,Panagiotis Andrianesis 2025 Pré-publication, Document de travail hal-04962947v1
Decision-Focused Linear Pooling for Probabilistic Forecast Combination Akylas Stratigakos,Salvador Pineda,Juan Miguel Morales 2024 Pré-publication, Document de travail hal-04593114v3
Decision-Focused Data Pooling for Contextual Stochastic Optimization Akylas Stratigakos,Juan Miguel Morales,Salvador Pineda,Georges Kariniotakis 2023 Pré-publication, Document de travail hal-04268454v1
Resilient Feature-driven Trading of Renewable Energy with Missing Data Matias Kühnau,Akylas Stratigakos,Simon Camal,Samuel Chevalier,Georges Kariniotakis 2023 Pré-publication, Document de travail hal-04104548v1
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy Christoph Bergmeir,Frits de Nijs,Abishek Sriramulu,Mahdi Abolghasemi,Richard Beanet al. 2023 Pré-publication, Document de travail hal-04107369v1
Prescriptive Trees for Value-oriented Forecasting and Optimization: Applications on Storage Scheduling and Market Clearing Akylas Stratigakos,Simon Camal,Andrea Michiorri,Georges Kariniotakis 2021 Pré-publication, Document de travail hal-03363876v1