Publications 2021-2024

Bart De Schutter

Years:
    2024          2023          2022          2021     

Note: If the pdf file (pdf) of the technical report that corresponds to a given publication is available, then this is indicated at the end of the entry for that publication. More information on the pdf file format can be found here. Hardcopies of the papers can also be requested by contacting me.


2024
  1. C. Liu, S. Shi, and B. De Schutter, "Stability and performance analysis of model predictive control of uncertain linear systems - Addendum," Tech. rep. 24-007a, Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands, Mar. 2024.  (abstract,  bibtex,  report (pdf))

  2. K. He, S. Shi, T. van den Boom, and B. De Schutter, "Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach," Automatica, vol. 160, p. 111456, Feb. 2024.  (online paper,  bibtex)

  3. T. Tao, S. Roy, B. De Schutter, and S. Baldi, "Distributed adaptive synchronization in Euler Lagrange networks with uncertain interconnections," IEEE Transactions on Automatic Control, vol. 69, no. 2, pp. 1081-1088, Feb. 2024.  (online paper,  bibtex)

  4. X. Liu, A. Dabiri, Y. Wang, and B. De Schutter, "Real-time train scheduling with uncertain passenger flows: A scenario-based distributed model predictive control approach," IEEE Transactions on Intelligent Transportation Systems, 2024. To appear.  (online paper,  bibtex)

  5. D. Sun, A. Jamshidnejad, and B. De Schutter, "A novel framework combining MPC and deep reinforcement learning with application to freeway traffic control," IEEE Transactions on Intelligent Transportation Systems, 2024.  (online paper,  bibtex)

  6. T. Tao, S. Roy, B. De Schutter, and S. Baldi, "Adaptive synchronization of uncertain underactuated Euler-Lagrange agents," IEEE Transactions on Automatic Control, 2024. To appear.  (bibtex)

  7. D. Yue, S. Baldi, J. Cao, and B. De Schutter, "Model reference adaptive stabilizing control with application to leaderless consensus," IEEE Transactions on Automatic Control, 2024. To appear.  (online paper,  bibtex)


2023
  1. A. Alloul, A. Moradvandi, D. Puyol, R. Molina, G. Gardella, S.E. Vlaeminck, B. De Schutter, E. Abraham, R.E.F. Lindeboom, and D.G. Weissbrodt, "A novel mechanistic modelling approach for microbial selection dynamics: Towards improved design and control of raceway reactors for purple bacteria," Bioresource Technology, vol. 390, p. 129844, Dec. 2023.  (online paper,  bibtex)

  2. X. Liu, A. Dabiri, J. Xun, and B. De Schutter, "Bi-level model predictive control for metro networks: Integration of timetables, passenger flows, and train speed profiles," Transportation Research Part E, vol. 180, p. 103339, Dec. 2023.  (online paper,  bibtex)

  3. D. Yue, S. Baldi, J. Cao, Q. Li, and B. De Schutter, "Distributed adaptive resource allocation: An uncertain saddle-point dynamics viewpoint," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 12, pp. 2209-2221, Dec. 2023.  (online paper,  bibtex)

  4. E. de Gelder, K. Adjenughwure, J. Manders, R. Snijders, J.P. Paardekooper, O. Op den Camp, A. Tejada, and B. De Schutter, "PRISMA: A novel approach for deriving probabilistic surrogate safety measures for risk evaluation," Accident Analysis & Prevention, vol. 192, p. 107273, Nov. 2023.  (online paper,  bibtex)

  5. A. Jamshidnejad, D. Sun, A. Ferrara, and B. De Schutter, "A novel bi-level temporally-distributed MPC approach: An application to green urban mobility," Transportation Research Part C, vol. 156, p. 104334, Nov. 2023.  (online paper,  bibtex)

  6. M. Ubbens and B. De Schutter, "Optimal control of offshore wind farm collector systems during outages," Proceedings of the 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, UK, Oct.-Nov. 2023.  (online paper,  bibtex)

  7. A.D. Sadowska, J.M. Maestre, R. Kassing, P.J. van Overloop, and B. De Schutter, "Predictive control of a human–in–the–loop network system considering operator comfort requirements," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 53, no. 8, pp. 4610-4622, Aug. 2023.  (online paper,  bibtex)

  8. S. Siri, C. Pasquale, N. Bhouri, B. De Schutter, M. Ghazel, and F. Viti, "Guest editorial: Innovative control approaches for smart transportation systems," Control Engineering Practice, vol. 137, p. 105564, Aug. 2023.  (online version,  bibtex)

  9. F. Airaldi, B. De Schutter, and A. Dabiri, "Learning safety in model-based reinforcement learning using MPC and Gaussian processes," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 5759-5764, July 2023.  (online paper,  bibtex)

  10. F. Cordiano, M. Fochesato, L. Huang, and B. De Schutter, "Provably-stable stochastic MPC for a class of nonlinear contractive systems," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 11242-11248, July 2023.  (online paper,  bibtex)

  11. L. Gharavi, B. De Schutter, and S. Baldi, "Parametric piecewise-affine approximation of nonlinear systems: A cut-based approach," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 6666-6671, July 2023.  (online paper,  bibtex)

  12. X. Liu, A. Dabiri, and B. De Schutter, "Scenario-based MPC for real-time passenger-centric timetable scheduling of urban rail transit networks," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 2347-2352, July 2023.  (online paper,  bibtex)

  13. A. Moradvandi, R.E.F. Lindeboom, E. Abraham, and B. De Schutter, "Models and methods for hybrid system identification: A systematic survey," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 95-107, July 2023.  (online paper,  bibtex)

  14. R. Ranjbar, A. Sadowska, J.M. Maestre, P.J. van Overloop, and B. De Schutter, "Predictive control of irrigation canals considering well-being of operators," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 731-736, July 2023.  (online paper,  bibtex)

  15. S. Shi, X. Cheng, B. De Schutter, and P.M.J. Van den Hof, "Signal selection for local module identification in linear dynamic networks: A graphical approach," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 2407-2412, July 2023.  (online paper,  bibtex)

  16. D. Sun, A. Jamshidnejad, and B. De Schutter, "Adaptive parameterized control for coordinated traffic management using reinforcement learning," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 5463-5468, July 2023.  (online paper,  bibtex)

  17. D. Sun, A. Jamshidnejad, and B. De Schutter, "Optimal sub-references for setpoint tracking: A multi-level MPC approach," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 9411-9416, July 2023.  (online paper,  bibtex)

  18. T. van den Boom, A. Gupta, B. De Schutter, and R. Beek, "Max-min-plus-scaling systems in a discrete-event framework with an application in urban railway," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 7906-7911, July 2023.  (online paper,  bibtex)

  19. A. Ilioudi, B.J. Wolf, A. Dabiri, and B. De Schutter, "Towards establishing an automated selection framework for underwater image enhancement methods," Proceedings of the OCEANS 2023, Limerick, Ireland, June 2023.  (online paper,  abstract,  bibtex)

  20. J. Fu, S. Peyghami, A. Núñez, F. Blaabjerg, and B. De Schutter, "A tractable failure probability prediction model for predictive maintenance scheduling of large-scale modular-multilevel-converters," IEEE Transactions on Power Electronics, vol. 38, no. 5, p. 6533-6544, May 2023.  (online paper,  bibtex)

  21. J. Jeschke, D. Sun, A. Jamshidnejad, and B. De Schutter, "Grammatical-evolution-based parameterized model predictive control for urban traffic networks," Control Engineering Practice, vol. 132, p. 105431, Mar. 2023.  (online paper,  bibtex)

  22. X. Liu, A. Dabiri, Y. Wang, and B. De Schutter, "Modeling and efficient passenger-oriented control for urban rail transit networks," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 3, pp. 3325-3338, Mar. 2023.  (online paper,  bibtex)

  23. M. Lv, B. De Schutter, and S. Baldi, "Non-recursive control for formation-containment of HFV swarms with dynamic event-triggered communication," IEEE Transactions on Industrial Informatics, vol. 19, no. 3, Mar. 2023.  (online paper,  bibtex)

  24. L.A. de Araujo Passos, T.J. Ceha, S. Baldi, and B. De Schutter, "Model predictive control of a thermal chimney and dynamic solar shades for an all-glass facades building," Energy, vol. 264, p. 126177, Feb. 2023.  (online paper,  bibtex)

  25. M. Lv, B. De Schutter, J. Cao, and S. Baldi, "Adaptive prescribed performance asymptotic tracking for high-order odd-rational-power nonlinear systems," IEEE Transactions on Automatic Control, vol. 68, no. 2, pp. 1047-1053, Feb. 2023.  (online paper,  bibtex)

  26. J. Fransman, J. Sijs, H. Dol, E. Theunissen, and B. De Schutter, "Distributed Bayesian: A continuous distributed constraint optimization problem solver," Journal of Artificial Intelligence Research, vol. 76, pp. 393-433, Jan. 2023.  (online paper,  bibtex)

  27. J. Fu, A. Núñez, and B. De Schutter, "A bidding mechanism for maintenance of generation units considering inter-ISO power exchange," International Journal of Electrical Power and Energy Systems, vol. 144, p. 108595, Jan. 2023.  (online paper,  bibtex)

  28. X. Wang, S. Baldi, X. Feng, C. Wu, H. Xie, and B. De Schutter, "A fixed-wing UAV formation algorithm based on vector field guidance," IEEE Transactions on Automation Science and Engineering, vol. 20, no. 1, pp. 179-192, Jan. 2023.  (online paper,  bibtex)

  29. Y. Wang, S. Lin, Y. Wang, B. De Schutter, and J. Xu, "Robustness analysis of platoon control for mixed types of vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 331-340, Jan. 2023.  (online paper,  bibtex)

  30. A. Castelletti, A. Ficchi, A. Cominola, P. Segovia, M. Giuliani, W. Wu, S. Lucia, C. Ocampo-Martinez, B. De Schutter, and J.M. Maestre, "Model predictive control of water resources systems: A review and research agenda," Annual Reviews in Control, vol. 55, pp. 442-465, 2023.  (online paper,  bibtex)

  31. L.A. de Araujo Passos, P. van den Engel, S. Baldi, and B. De Schutter, "Dynamic optimization for minimal HVAC demand with latent heat storage, heat recovery, natural ventilation, and solar shadings," Energy Conversion and Management, vol. 276, p. 116573, 2023.  (online paper,  bibtex)

  32. E.-A. Eigbe, B. De Schutter, M. Nasri, and N. Yorke-Smith, "Sequence- and time-dependent maintenance scheduling in twice re-entrant flow shops," IEEE Access, vol. 11, pp. 103461-103475, 2023.  (online paper,  bibtex)

  33. W. Phusakulkajorn, A. Núñez, H. Wang, A. Jamshidi, A. Zoeteman, B. Ripke, R. Dollevoet, B. De Schutter, and Z. Li, "Artificial intelligence in railway infrastructure: Current research, challenges, and future opportunities," Intelligent Transportation Infrastructure, vol. 2, 2023. Paper liad016.  (online paper,  bibtex)

  34. S. Shi, O. Mazhar, and B. De Schutter, "Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching," IEEE Control Systems Letters, vol. 7, pp. 121-126, 2023.  (online paper,  bibtex)

  35. F. Storani, R. Di Pace, and B. De Schutter, "A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation," Journal of Intelligent Transportation Systems, vol. 27, no. 5, pp. 606-625, 2023.  (online paper,  bibtex)

  36. K. Wu, B. De Schutter, J. Rezaei, and L. Tavasszy, "Decision analysis and coordination in green supply chains with stochastic demand," International Journal of Systems Science: Operations & Logistics, vol. 10, no. 1, p. 2208277, 2023.  (online paper,  bibtex)


2022
  1. M. Lv, Z. Chen, B. De Schutter, and S. Baldi, "Prescribed-performance tracking for high-power nonlinear dynamics with time-varying unknown control coefficients," Automatica, vol. 146, p. 110584, Dec. 2022.  (online paper,  bibtex)

  2. J. Fu, A. Núñez, and B. De Schutter, "Accelerated optimal maintenance scheduling for generation units on a truthful platform," Energy Reports, vol. 8, pp. 9777-9786, Nov. 2022.  (online paper,  bibtex)

  3. Y. Wang, S. Zhu, S. Li, L. Yang, and B. De Schutter, "Hierarchical model predictive control for on-line high-speed railway delay management and train control in a dynamic operations environment," IEEE Transactions on Control Systems Technology, vol. 30, no. 6, pp. 2344-2359, Nov. 2022.  (online paper,  bibtex)

  4. E.A. Bartels, T. Pippia, and B. De Schutter, "Influence of hydrogen on grid investments for smart microgrids," International Journal of Electrical Power and Energy Systems, vol. 141, Oct. 2022. Article 107968.  (online paper,  bibtex)

  5. E. de Gelder, J. Hof, E. Cator, J.P. Paardekooper, O. Op den Camp, J. Ploeg, and B. De Schutter, "Scenario parameter generation method and scenario representativeness metric for scenario-based assessment of automated vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 18794-18807, Oct. 2022.  (online paper,  bibtex)

  6. W. Remmerswaal, D. Sun, A. Jamshidnejad, and B. De Schutter, "Combined MPC and reinforcement learning for traffic signal control in urban traffic networks," Proceedings of the 2022 26th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, pp. 432-439, Oct. 2022.  (online paper,  bibtex)

  7. Q. Tao, Z. Li, J. Xu, S. Lin, B. De Schutter, and J.A.K. Suykens, "Short-term traffic flow prediction based on the efficient hinging hyperplanes neural network," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15616-15628, Sept. 2022.  (online paper,  bibtex)

  8. X. Liu, A. Dabiri, and B. De Schutter, "Timetable scheduling for passenger-centric urban rail networks: Model predictive control based on a novel absorption model," Proceedings of the 2022 IEEE Conference on Control Technology and Applications (CCTA), Trieste, Italy, pp. 1147-1152, Aug. 2022.  (online paper,  bibtex)

  9. R. Carli, G. Cavone, T. Pippia, B. De Schutter, and M. Dotoli, "Robust optimal control for demand side management of multi-carrier microgrids," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1338-1351, July 2022.  (online paper,  bibtex)

  10. E. de Gelder, J.P. Paardekooper, A.K. Saberi, K. Arash, H. Elrofai, O. Op den Camp, S. Kraines, J. Ploeg, and B. De Schutter, "Towards an ontology for scenario definition for the assessment of automated vehicles: An object-oriented framework," IEEE Transactions on Intelligent Vehicles, vol. 7, no. 2, pp. 300-314, June 2022.  (online paper,  bibtex)

  11. E.-A. Eigbe, B. De Schutter, M. Nasri, and N. Yorke-Smith, "Predictive maintenance scheduling in twice re-entrant flow shops with due dates," Proceedings of the 15th Scheduling and Planning Applications woRKshop (SPARK) - ICAPS 2022 Workshop, (Virtual), 8 pp., June 2022. Paper 3.  (bibtex)

  12. J. Fu, A. Núñez, and B. De Schutter, "Real-time UAV routing strategy for monitoring and inspection for postdisaster restoration of distribution networks," IEEE Transactions on Industrial Informatics, vol. 18, no. 4, pp. 2582-2592, Apr. 2022.  (online paper,  bibtex)

  13. D. Yue, S. Baldi, J. Cao, and B. De Schutter, "Distributed adaptive optimization with weight-balancing," IEEE Transactions on Automatic Control, vol. 67, no. 4, pp. 2068-2075, Apr. 2022.  (online paper,  bibtex)

  14. S. Liu, A. Sadowska, and B. De Schutter, "A scenario-based distributed model predictive control approach for freeway networks," Transportation Research Part C, vol. 136, p. 103261, Mar. 2022.  (online paper,  bibtex)

  15. M. Lv, B. De Schutter, C. Shi, and S. Baldi, "Logic-based distributed switching control for agents in power-chained form with multiple unknown control directions," Automatica, vol. 137, p. 110143, Mar. 2022.  (online paper,  bibtex)

  16. C. Orozco, A. Borghetti, B. De Schutter, F. Napolitano, G. Pulazza, and F. Tossani, "Intra-day scheduling of a local energy community coordinated with day-ahead multistage decisions," Sustainable Energy, Grids and Networks, vol. 29, Mar. 2022. Paper 100573.  (online paper,  bibtex)

  17. U. Todorovic, J.R.D. Frejo, and B. De Schutter, "Distributed MPC for large freeway networks using alternating optimization," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, pp. 1875-1884, Mar. 2022.  (online paper,  bibtex)

  18. G. Cavone, T. van den Boom, L. Blenkers, M. Dotoli, C. Seatzu, and B. De Schutter, "An MPC-based rescheduling algorithm for disruptions and disturbances in large-scale railway networks," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 1, p. 99-112, Jan. 2022.  (online paper,  bibtex)

  19. D. Li and B. De Schutter, "Distributed model-free adaptive predictive control for urban traffic network," IEEE Transactions on Control Systems Technology, vol. 30, no. 1, pp. 180-192, Jan. 2022.  (online paper,  bibtex)

  20. A. Ilioudi, B. Wolf, A. Dabiri, and B. De Schutter, "Deep learning for object detection and segmentation in videos: Towards an integration with domain knowledge," IEEE Access, vol. 10, pp. 34562-34576, 2022.  (online paper,  bibtex)


2021
  1. M. Damoiseaux and B. De Schutter, "An efficient dispersion model for control of emission levels in the vicinity of freeways," Proceedings of the 24th IEEE Intelligent Transportation Systems Conference (ITSC2021), Indianapolis, Indiana, Sept. 2021.  (bibtex)

  2. J. Lago, G. Suryanarayana, E. Sogancioglu, and B. De Schutter, "Optimal control strategies for seasonal thermal energy storage systems with market interaction," IEEE Transactions on Control Systems Technology, vol. 29, no. 5, pp. 1891-1906, Sept. 2021.  (online paper,  bibtex)

  3. T. Pippia, J. Lago, R. De Coninck, and B. De Schutter, "Scenario-based nonlinear model predictive control for building heating systems," Energy and Buildings, vol. 247, p. 111108, Sept. 2021.  (online paper,  bibtex)

  4. S. Lin and B. De Schutter, "Controller design for stabilizing bilinear systems with state-based switching," Nonlinear Analysis: Hybrid Systems, vol. 41, p. 101009, Aug. 2021.  (online paper,  bibtex)

  5. M. Lv, B. De Schutter, W. Yu, and S. Baldi, "Adaptive asymptotic tracking for a class of uncertain switched positive compartmental models with application to anesthesia," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 8, pp. 4936-4942, Aug. 2021.  (online paper,  bibtex)

  6. N. Wu, D. Li, Y. Xi, and B. De Schutter, "Distributed event-triggered model predictive control for urban traffic lights," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 8, pp. 4975-4985, Aug. 2021.  (online paper,  bibtex)

  7. E. de Gelder, E. Cator, J.P. Paardekooper, O. Op den Camp, and B. De Schutter, "Constrained sampling from a kernel density estimator to generate scenarios for the assessment of automated vehicles," Proceedings of the 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), Nagoya, Japan, pp. 203-208, July 2021.  (online paper,  bibtex)

  8. J. Lago, G. Marcjasz, B. De Schutter, and R. Weron, "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark," Applied Energy, vol. 293, July 2021. Article 116983.  (online paper,  bibtex)

  9. T.J. Ceha, L.A. de Araujo Passos, S. Baldi, and B. De Schutter, "Model predictive control for optimal integration of a thermal chimney and solar shaded building," Proceedings of the 29th Mediterranean Conference on Control and Automation (MED 2021), Bari, Italy, June 2021.  (bibtex)

  10. J. Jeschke and B. De Schutter, "Parametrized model predictive control approaches for urban traffic networks," Proceedings of the 16th IFAC Symposium on Control in Transportation Systems (CTS 2021), Lille, France, June 2021.  (bibtex)

  11. D. Yue, S. Baldi, J. Cao, Q. Li, and B. De Schutter, "A directed spanning tree adaptive control solution to time-varying formations," IEEE Transactions on Control of Network Systems, vol. 8, no. 2, pp. 690-701, June 2021.  (online paper,  bibtex)

  12. J.R.D. Frejo and B. De Schutter, "Logic-based traffic flow control for ramp metering and variable speed limits - Part 1: Controller," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 5, pp. 2647-2657, May 2021.  (online paper,  bibtex)

  13. J.R.D. Frejo and B. De Schutter, "Logic-based traffic flow control for ramp metering and variable speed limits - Part 2: Simulation and comparison," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 5, pp. 2658-2669, May 2021.  (online paper,  bibtex)

  14. J. Fu, A. Núñez, and B. De Schutter, "A short-term preventive maintenance scheduling method for distribution networks with distributed generators and batteries," IEEE Transactions on Power Systems, vol. 36, pp. 2516-2531, May 2021.  (online paper,  bibtex)

  15. T.J.J. van den Boom and B. De Schutter, "Analytic expressions in stochastic max-plus-linear algebra and their application in model predictive control," IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1872-1878, Apr. 2021.  (online paper,  bibtex)

  16. J. Lago, K. Poplavskaya, G. Suryanarayana, and B. De Schutter, "A market framework for grid balancing support through imbalances trading," Renewable and Sustainable Energy Reviews, vol. 137, Mar. 2021. Article 110467.  (online paper,  bibtex)

  17. J. Xu, T. van den Boom, and B. De Schutter, "Optimistic optimization for continuous nonconvex piecewise affine functions," Automatica, Mar. 2021. Article 109476.  (online paper,  abstract,  bibtex)

  18. J. Fu, G. Song, and B. De Schutter, "Influence of measurement uncertainty on parameter estimation and fault location for transmission lines," IEEE Transactions on Automation Science and Engineering, vol. 18, no. 1, pp. 337-345, Jan. 2021.  (online paper,  bibtex)

  19. E. de Gelder, H. Elrofai, A.K. Saberi, J.P. Paardekooper, O. Op den Camp, and B. De Schutter, "Risk quantification for automated driving systems in real-world driving scenarios," IEEE Access, vol. 9, pp. 168953-168970, 2021.  (online paper,  bibtex)

  20. J. Lago, G. Marcjasz, B. De Schutter, and R. Weron, "EPFTOOLBOX: The first open-access PYTHON library for driving research in electricity price forecasting (EPF)," WORMS Software (WORking papers in Management Science Software) WORMS/C/21/01, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland, 2021.  (bibtex)

  21. J. Lago, G. Marcjasz, B. De Schutter, and R. Weron, "Erratum to "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark" [Appl. Energy 293 (2021) 116983]," WORking papers in Management Science (WORMS) WORMS/21/12, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland, 2021.  (bibtex)


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This page is maintained by Bart De Schutter. Last update: March 21, 2024.