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Akylas Stratigakos

Research Associate
20
Documents
Current affiliations
  • 214579
  • 301492
  • 69530
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Presentation

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](https://www.persee.minesparis.psl.eu/Accueil/Presentation/), 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!

Research domains

Engineering Sciences [physics] Machine Learning [stat.ML] Optimization and Control [math.OC]

Skills

time series forecasting optimization prescriptive analytics

Publications

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Towards Resilient Energy Forecasting: A Robust Optimization Approach

Akylas Stratigakos , Panagiotis Andrianesis , Andrea Michiorri , Georges Kariniotakis
IEEE Transactions on Smart Grid, 2023, pp.1-1. ⟨10.1109/TSG.2023.3272379⟩
Journal articles hal-03792191v3
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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, 2023, pp.1-12. ⟨10.1109/TPWRS.2023.3333165⟩
Journal articles hal-04038380v4

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 Jones
IEEE Access, 2022, pp.1-1. ⟨10.1109/ACCESS.2022.3205589⟩
Journal articles hal-03777007v1
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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, ⟨10.1109/TPWRS.2022.3152667⟩
Journal articles hal-03330017v3

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⟩
Journal articles hal-03774566v1

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⟩
Journal articles hal-03330926v1

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
Conference papers hal-04210488v1

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 Giebel
EGU General Assembly 2022, May 2022, Vienna, Austria. pp.EGU22-12923, ⟨10.5194/egusphere-egu22-12923⟩
Conference papers hal-03620444v1

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
Conference papers hal-03718662v1

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
Conference papers hal-03718668v1
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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⟩
Conference papers hal-03527644v3
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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
Conference papers hal-03208575v1

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
Conference papers hal-03238445v1
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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
Conference papers hal-03449920v1