Preprints

• Akylas Stratigakos, Honglin Wen, Elina Spyrou, Pierre Pinson. Decision-Calibrated Prediction Sets for Robust Power System Operations. arXiv preprint, 2026.[Link]

Journal Articles

• Guillaume Van Caelenberg, Akylas Stratigakos, Elina Spyrou. Constructing Deployment Scenarios for Reserve Deliverability via Adaptive Robust Optimization. Electric Power Systems Research, vol. 263, article 113632, 2027.[DOI][Link]
  Presented at the 2026 Power Systems Computation Conference (PSCC), Limassol, Cyprus, 8–12 June 2026.
• J. G. De la Varga, S. Pineda, Akylas Stratigakos, J. M. Morales. End-to-End Pseudo-Measurement Learning for State Estimation under Limited Observability. Electric Power Systems Research, vol. 265, article 114220, 2027.[DOI][Link]
• Akylas Stratigakos, Panagiotis Andrianesis. Learning Data-Driven Uncertainty Set Partitions for Robust and Adaptive Energy Forecasting with Missing Data. IEEE Transactions on Smart Grid, 17(1), 806–817, 2026.[DOI][Link][Code]
• Akylas Stratigakos, Salvador Pineda, Juan Miguel Morales. Decision-focused linear pooling for probabilistic forecast combination. International Journal of Forecasting, 41(3), 1112–1125, 2025.[DOI][Link][Code]
• Christoph Bergmeir, Frits De Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas Stratigakos, Peter Stuckey, Guido Tack, Isaac Triguero, Rui Yuan. Predict+Optimize Problem in Renewable Energy Scheduling. IEEE Access, vol. 13, 60064–60087, 2025.[DOI]
• Akylas Stratigakos, Panagiotis Andrianesis, Andrea Michiorri, Georges Kariniotakis. Towards Resilient Energy Forecasting: A Robust Optimization Approach. IEEE Transactions on Smart Grid, 15(1), 874–885, 2024.[DOI]
• Akylas Stratigakos, Salvador Pineda, Juan Miguel Morales, Georges Kariniotakis. Interpretable Machine Learning for DC Optimal Power Flow With Feasibility Guarantees. IEEE Transactions on Power Systems, 39(3), 5126–5137, 2024.[DOI]
• Konstantinos F. Krommydas, Akylas C. Stratigakos, Christos N. Dikaiakos, George P. Papaioannou, Martin G. Jones, Grace C. McLoughlin. A Novel Modular Mobile Power Flow Controller for Real-Time Congestion Management Tested on a 150kV Transmission System. IEEE Access, vol. 10, 96414–96426, 2022.[DOI]
• Konstantinos Krommydas, Christos Dikaiakos, George Papaioannou, Akylas Stratigakos. Flexibility study of the Greek power system using a stochastic programming approach for estimating reserve requirements. Electric Power Systems Research, vol. 213, article 108620, 2022.[DOI]
• Akylas Stratigakos, Simon Camal, Andrea Michiorri, Georges Kariniotakis. Prescriptive trees for integrated forecasting and optimization applied in trading of renewable energy. IEEE Transactions on Power Systems, 37(6), 4696–4708, 2022.[DOI]
• Akylas Stratigakos, Athanasios Bachoumis, Vasiliki Vita, Elias Zafiropoulos. Short-term net load forecasting with singular spectrum analysis and LSTM neural networks. Energies, 14(14), article 4107, 2021.[DOI]
• George P Papaioannou, Christos Dikaiakos, Akylas C Stratigakos, Panos C Papageorgiou, Konstantinos F Krommydas. Testing the efficiency of electricity markets using a new composite measure based on nonlinear TS Tools. Energies, 12(4), article 618, 2019.[DOI]

Conference Papers

• Konstantinos F Krommydas, Akylas C Stratigakos, Efthimia Chassioti, Ioannis Moraitis. A two-stage stochastic unit-commitment formulation for evaluating the impact of battery energy storage systems on reserve requirements. IET Conference Proceedings, 2024(29), 684–689, 2024.[DOI]
• Matias Kuhnau, Akylas Stratigakos, Simon Camal, Samuel Chevalier, Georges Kariniotakis. Resilient Feature-driven Trading of Renewable Energy with Missing Data. 2023 IEEE Power and Energy Society Innovative Smart Grid Technologies conference (ISGT), 2023.[DOI]
• Akylas Stratigakos, Dennis van der Meer, Simon Camal, Georges Kariniotakis. End-to-end Learning for Hierarchical Forecasting of Renewable Energy Production with Missing Values. 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 2022.[DOI]
• Akylas Stratigakos, Andrea Michiorri, Georges Kariniotakis. A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation. 2021 IEEE Madrid PowerTech, 2021.[DOI]
• Akylas Stratigakos. A robust fix-and-optimize matheuristic for timetabling problems with uncertain renewable energy production. IEEE Symposium Series on Computational Intelligence 2021, 2021.[Link]
• Konstantinos F Krommydas, Akylas C Stratigakos, Christos Dikaiakos, George P Papaioannou, Elias Zafiropoulos, Lambros Ekonomou. An improved flexibility metric based on kernel density estimators applied on the Greek power system. Lecture Notes in Electrical Engineering, vol. 610, 35–46, 2020.[DOI]
• Akylas Stratigakos, Konstantinos Krommydas, Panos Papageorgiou, Christos Dikaiakos, George Papaioannou. A Suitable Flexibility Assessment Approach for the Pre-Screening Phase of Power System Planning Applied on the Greek Power System. IEEE EUROCON 2019 — 18th International Conference on Smart Technologies, 2019.[DOI]