Akylas Stratigakos
PhD candidate
18
Documents
Current affiliations
- 214579
- 301492
Researcher identifiers
akylas-stratigakos
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0000-0002-9954-5558
Presentation
Hi, welcome to my profile! I am 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. I work on the intersection of machine learning, forecasting, and optimization, to enable power systems to cope with the uncertainty introduced by the large-scale penetration of renewable energy sources.
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 ApproachIEEE Transactions on Smart Grid, 2023, ⟨10.1109/TSG.2023.3272379⟩
Journal articles
hal-03792191v3
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Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable EnergyIEEE Transactions on Power Systems, 2022, ⟨10.1109/TPWRS.2022.3152667⟩
Journal articles
hal-03330017v3
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Flexibility study of the Greek power system using a stochastic programming approach for estimating reserve requirementsElectric Power Systems Research, 2022, 213, pp.108620. ⟨10.1016/j.epsr.2022.108620⟩
Journal articles
hal-03774566v1
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A Novel Modular Mobile Power Flow Controller for Real-Time Congestion Management Tested on a 150kV Transmission SystemIEEE Access, 2022, pp.1-1. ⟨10.1109/ACCESS.2022.3205589⟩
Journal articles
hal-03777007v1
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Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural NetworksEnergies, 2021, 14 (14), pp.4107. ⟨10.3390/en14144107⟩
Journal articles
hal-03330926v1
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Next Generation Forecasting Solutions for Wind Energy – Results from the Smart4RES ProjectWindEurope Annual Event 2023, Apr 2023, Copenhagen, Denmark. 2023
Conference poster
hal-04162071v1
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Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy2023
Preprints, Working Papers, ...
hal-04107369v1
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Resilient Feature-driven Trading of Renewable Energy with Missing Data2023
Preprints, Working Papers, ...
hal-04104548v1
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Interpretable Machine Learning for DC Optimal Power Flow with Feasibility Guarantees2023
Preprints, Working Papers, ...
hal-04038380v2
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Prescriptive Trees for Value-oriented Forecasting and Optimization: Applications on Storage Scheduling and Market Clearing2021
Preprints, Working Papers, ...
hal-03363876v1
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