Publications - Energy and power networks

Bart De Schutter

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.


  1. 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, 6 pp., Oct.-Nov. 2023.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  2. 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,  abstract,  bibtex,  tech. report (pdf))

  3. 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,  abstract,  bibtex,  tech. report (pdf))

  4. 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  [open access],  abstract,  bibtex,  tech. report (pdf))

  5. 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,  abstract,  bibtex,  tech. report (pdf))

  6. 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  [open access],  abstract,  bibtex,  tech. report (pdf))

  7. 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  [open access],  bibtex)

  8. 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)

  9. 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,  abstract,  bibtex,  tech. report (pdf))

  10. 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)

  11. 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  [open access],  abstract,  bibtex,  tech. report (pdf))

  12. 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  [open access],  bibtex)

  13. 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  [open access],  abstract,  bibtex,  tech. report (pdf))   [see also: erratum,  software toolbox]

  14. 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 2021 29th Mediterranean Conference on Control and Automation (MED), Bari, Italy, pp. 21-26, June 2021.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  15. 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,  abstract,  bibtex,  tech. report (pdf))

  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  [open access],  abstract,  bibtex,  tech. report (pdf))

  17. 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,  abstract,  bibtex,  tech. report (pdf))

  18. 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.  (online version  [open access],  abstract,  bibtex)   [see also: related paper]

  19. 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.  (online version  [open access],  abstract,  bibtex,  tech. report (pdf))   [see also: original paper]

  20. T. Pippia, J. Sijs, and B. De Schutter, "A single-level rule-based model predictive control approach for energy management of grid-connected microgrids," IEEE Transactions on Control Systems Technology, vol. 28, no. 6, pp. 2364-2376, Nov. 2020.  (online paper,  bibtex)

  21. R. Carli, G. Cavone, T. Pippia, B. De Schutter, and M. Dotoli, "A robust MPC energy scheduling strategy for multi-carrier microgrids," Proceedings of the 16th IEEE International Conference on Automation Science and Engineering (CASE 2020), Virtual Conference, pp. 152-158, Aug. 2020.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  22. F. Alavi, N. van de Wouw, and B. De Schutter, "Power scheduling of fuel cell cars in an islanded mode microgrid with private driving patterns," IEEE Transactions on Control Systems Technology, vol. 28, no. 4, pp. 1393-1403, July 2020.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  23. D. Masti, T. Pippia, A. Bemporad, and B. De Schutter, "Learning approximate semi-explicit hybrid MPC with an application to microgrids," Proceedings of the 21st IFAC World Congress, Virtual conference, pp. 5207-5212, July 2020.  (online paper  [open access],  bibtex)

  24. S. Siniscalchi-Minna, F.D. Bianchi, C. Ocampo-Martinez, J.L. Domínguez-García, and B. De Schutter, "A non-centralized predictive control strategy for wind farm active power control: A wake-based partitioning approach," Renewable Energy, vol. 150, pp. 656-669, May 2020.  (online paper,  bibtex)

  25. N. Sapountzoglou, J. Lago, B. De Schutter, and B. Raison, "A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids," Applied Energy, vol. 276, 2020. Article 115299.  (online paper  [open access],  abstract,  bibtex,  tech. report (pdf))

  26. M. Picallo, A. Anta, and B. De Schutter, "Comparison of bounds for optimal PMU placement for state estimation in distribution grids," IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 4837-4846, Nov. 2019.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  27. J. Fu, G. Song, and B. De Schutter, "A pilot protection method based on energy balance for half-wavelength transmission lines," Proceedings of the 15th IEEE International Conference on Automation Science and Engineering (CASE 2019), Vancouver, Canada, pp. 18-23, Aug. 2019.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  28. J. Lago, F. De Ridder, W. Mazairac, and B. De Schutter, "A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy," Applied Energy, vol. 248, pp. 640-655, Aug. 2019.  (online paper  [open access],  abstract,  bibtex,  tech. report (pdf))

  29. T. Pippia, J. Lago, R. De Coninck, J. Sijs, and B. De Schutter, "Scenario-based model predictive control approach for heating systems in an office building," Proceedings of the 15th IEEE International Conference on Automation Science and Engineering (CASE 2019), Vancouver, Canada, pp. 1243-1248, Aug. 2019.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  30. J. Lago, E. Sogancioglu, G. Suryanarayana, F. De Ridder, and B. De Schutter, "Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach," Proceedings of the IFAC Workshop on Control of Smart Grid and Renewable Energy Systems (CSGRES 2019), Jeju, Republic of Korea, pp. 488-493, June 2019.  (online paper  [open access],  abstract,  bibtex,  tech. report (pdf))

  31. M. Picallo, A. Anta, and B. De Schutter, "Efficient convex optimization for optimal PMU placement in large distribution grids," Proceedings of the 13th IEEE PowerTech 2019, Milan, Italy, 6 pp., June 2019.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  32. S.S. Farahani, R. van der Veen, V. Oldenbroek, F. Alavi, E.H. Park Lee, N. van de Wouw, A. van Wijk, B. De Schutter, and Z. Lukszo, "A hydrogen-based integrated energy and transport system: The design and analysis of the car as power plant concept," IEEE Systems, Man, and Cybernetics Magazine, vol. 5, no. 1, pp. 37-50, Jan. 2019.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  33. J. Lago, K. De Brabandere, F. De Ridder, and B. De Schutter, "A generalized model for short-term forecasting of solar irradiance," Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, Florida, pp. 3165-3170, Dec. 2018.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  34. M. Picallo, A. Anta, and B. De Schutter, "Stochastic optimal power flow in distribution grids under uncertainty from state estimation," Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, Florida, pp. 3152-3158, Dec. 2018.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  35. T. Pippia, J. Sijs, and B. De Schutter, "A parametrized model predictive control approach for microgrids," Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, Florida, pp. 3171-3176, Dec. 2018.  (online paper,  bibtex)

  36. S. Siniscalchi-Minna, C. Ocampo-Martinez, F.D. Bianchi, M. De Prada Gil, and B. De Schutter, "Partitioning approach for large wind farms: Active power control for optimizing power reserve," Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, Florida, pp. 3183-3188, Dec. 2018.  (online paper,  bibtex)

  37. E. Lo Cascio, B. De Schutter, and C. Schenone, "Flexible energy harvesting from natural gas distribution networks through line-bagging," Applied Energy, vol. 229, pp. 253-263, Nov. 2018.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  38. J. Lago, K. De Brabandere, F. De Ridder, and B. De Schutter, "Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data," Solar Energy, vol. 173, pp. 566-577, Oct. 2018.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  39. J. Lago, F. De Ridder, and B. De Schutter, "Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms," Applied Energy, vol. 221, pp. 386-405, July 2018.  (online paper  [open access],  abstract,  bibtex,  tech. report (pdf))   [see also: erratum]

  40. M. Picallo, A. Anta, B. De Schutter, and A. Panosyan, "A two-step distribution system state estimator with grid constraints and mixed measurements," Proceedings of the 20th Power Systems Computation Conference, Dublin, Ireland, 7 pp., June 2018.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  41. J. Lago, F. De Ridder, and B. De Schutter, "Erratum to "Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms" [Appl. Energy 221 (2018) 386-405]," Applied Energy, vol. 229, p. 1286, 2018.  (online version  [open access],  abstract,  bibtex,  tech. report (pdf))   [see also: original paper]

  42. J. Lago, F. De Ridder, P. Vrancx, and B. De Schutter, "Forecasting day-ahead electricity prices in Europe: The importance of considering market integration," Applied Energy, vol. 211, pp. 890-903, 2018.  (online paper  [open access],  abstract,  bibtex,  tech. report (pdf))

  43. F. Ruelens, B.J. Claessens, S. Quaiyum, B. De Schutter, R. Babuška, and R. Belmans, "Reinforcement learning applied to an electric water heater: From theory to practice," IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 3792-3800, 2018.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  44. F. Alavi, N. van de Wouw, and B. De Schutter, "Power scheduling in islanded-mode microgrids using fuel cell vehicles," Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, pp. 5056-5061, Dec. 2017.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  45. I. Sarantis, F. Alavi, and B. De Schutter, "Optimal power scheduling of fuel-cell-car-based microgrids," Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, pp. 5062-5067, Dec. 2017.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  46. F. Ruelens, B.J. Claessens, S. Vandael, B. De Schutter, R. Babuška, and R. Belmans, "Residential demand response of thermostatically controlled loads using batch reinforcement learning," IEEE Transactions on Smart Grid, vol. 8, no. 5, pp. 2149-2159, Sept. 2017.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  47. F. Alavi, E. Park Lee, N. van de Wouw, B. De Schutter, and Z. Lukszo, "Fuel cell cars in a microgrid for synergies between hydrogen and electricity networks," Applied Energy, vol. 192, pp. 296-304, Apr. 2017.  (online paper,  abstract,  bibtex,  tech. report (pdf))   [see also: addendum]

  48. F. Alavi, N. van de Wouw, and B. De Schutter, "Min-max control of fuel-cell-car-based smart energy systems," Proceedings of the 2016 European Control Conference, Aalborg, Denmark, pp. 1223-1228, June-July 2016.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  49. S.S. Farahani, Z. Lukszo, T. Keviczky, B. De Schutter, and R.M. Murray, "Robust model predictive control for an uncertain smart thermal grid," Proceedings of the 2016 European Control Conference, Aalborg, Denmark, pp. 1195-1200, June-July 2016.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  50. F. Alavi, E. Park Lee, N. van de Wouw, B. De Schutter, and Z. Lukszo, "Fuel cell cars in a microgrid for synergies between hydrogen and electricity networks - Addendum," Tech. report 16-008a, Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands, Apr. 2016.  (abstract,  bibtex,  report (pdf))   [see also: original paper]

  51. P. Mc Namara, R.R. Negenborn, B. De Schutter, G. Lightbody, and S. McLoone, "Distributed MPC for frequency regulation in multi-terminal HVDC grids," Control Engineering Practice, vol. 46, pp. 176-187, Jan. 2016.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  52. J.M. Maestre, M.A. Ridao, A. Kozma, C. Savorgnan, M. Diehl, M.D. Doan, A. Sadowska, T. Keviczky, B. De Schutter, H. Scheu, W. Marquardt, F. Valencia, and J. Espinosa, "A comparison of distributed MPC schemes on a hydro-power plant benchmark," Optimal Control Applications and Methods, vol. 36, no. 3, pp. 306-332, May-June 2015.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  53. M.D. Doan, P. Giselsson, T. Keviczky, B. De Schutter, and A. Rantzer, "A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley," Control Engineering Practice, vol. 21, no. 11, pp. 1594-1605, Nov. 2013.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  54. A. Núñez, C. Ocampo-Martinez, B. De Schutter, F. Valencia, J.D. López, and J. Espinosa, "A multiobjective-based switching topology for hierarchical model predictive control applied to a hydro-power valley," Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science (ICONS 2013), Chengdu, China, pp. 534-539, Sept. 2013.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  55. P. Mc Namara, R.R. Negenborn, B. De Schutter, and G. Lightbody, "Optimal coordination of a multiple HVDC link system using centralized and distributed control," IEEE Transactions on Control Systems Technology, vol. 21, no. 2, pp. 302-314, Mar. 2013.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  56. P. Mc Namara, R.R. Negenborn, B. De Schutter, and G. Lightbody, "Weight optimisation for iterative distributed model predictive control applied to power networks," Engineering Applications of Artificial Intelligence, vol. 26, no. 1, pp. 532-543, Jan. 2013.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  57. S. Roshany-Yamchi, M. Cychowski, R.R. Negenborn, B. De Schutter, K. Delaney, and J. Connell, "Kalman filter-based distributed predictive control of large-scale multi-rate systems: Application to power networks," IEEE Transactions on Control Systems Technology, vol. 21, no. 1, pp. 27-39, Jan. 2013.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  58. M.D. Doan, T. Keviczky, and B. De Schutter, "Application of distributed and hierarchical model predictive control in hydro power valleys," Proceedings of the 4th IFAC Nonlinear Model Predictive Control Conference, Noordwijkerhout, The Netherlands, pp. 375-383, Aug. 2012.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  59. J.M. Maestre, M.D. Doan, D. Muñoz de la Peña, P.J. van Overloop, T. Keviczky, M.A. Ridao, and B. De Schutter, "Benchmarking the operation of a hydro power network through the application of agent-based model predictive controllers," Proceedings of the 10th International Conference on Hydroinformatics (HIC 2012), Hamburg, Germany, 8 pp., July 2012. Paper HIC2012_0338.  (abstract,  bibtex,  tech. report (pdf))

  60. G. Bajracharya, T. Koltunowicz, R.R. Negenborn, D. Djairam, B. De Schutter, and J.J. Smit, "Optimization of asset management of transformers based on a predictive health model of paper degradation," Proceedings of the 17th International Symposium on High Voltage Engineering, Hannover, Germany, 6 pp., Aug. 2011. Paper G-002.  (abstract,  bibtex,  tech. report (pdf))

  61. P. Mc Namara, R.R. Negenborn, B. De Schutter, and G. Lightbody, "Coordination of a multiple link HVDC system using local communications based distributed model predictive control," Proceedings of the 18th IFAC World Congress, Milan, Italy, pp. 1558-1563, Aug.-Sept. 2011.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  62. M. Houwing, R.R. Negenborn, and B. De Schutter, "Demand response with micro-CHP systems," Proceedings of the IEEE, vol. 99, no. 1, pp. 200-213, Jan. 2011.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  63. K. Staňková, G.J. Olsder, and B. De Schutter, "On European electricity market liberalization: A game-theoretic approach," INFOR: Information Systems and Operational Research, vol. 48, no. 4, pp. 267-280, Nov. 2010.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  64. G. Bajracharya, T. Koltunowicz, R.R. Negenborn, D. Djairam, B. De Schutter, and J.J. Smit, "Optimization of transformer loading based on hot-spot temperature using a predictive health model," Proceedings of the 2010 International Conference on Condition Monitoring and Diagnosis (CMD 2010), Tokyo, Japan, pp. 914-917, Sept. 2010.  (abstract,  bibtex,  tech. report (pdf))

  65. P.J. van Overloop, R.R. Negenborn, S.V. Weijs, W. Malda, M.R. Bruggers, and B. De Schutter, "Linking water and energy objectives in lowland areas through the application of model predictive control," Proceedings of the 2010 IEEE International Conference on Control Applications, Yokohama, Japan, pp. 1887-1891, Sept. 2010.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  66. M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter, "Distributed predictive control for energy hub coordination in coupled electricity and gas networks," Chapter 10 in Intelligent Infrastructures (R.R. Negenborn, Z. Lukszo, and H. Hellendoorn, eds.), vol. 42 of Intelligent Systems, Control and Automation: Science and Engineering, Dordrecht, The Netherlands: Springer, ISBN 978-90-481-3598-1, pp. 235-273, 2010.  (online version,  abstract,  bibtex,  tech. report (pdf))

  67. R.R. Negenborn, G. Hug-Glanzmann, B. De Schutter, and G. Andersson, "A novel coordination strategy for multi-agent control using overlapping subnetworks with application to power systems," in Efficient Modeling and Control of Large-Scale Systems (J. Mohammadpour and K.M. Grigoriadis, eds.), New York, New York: Springer, ISBN 978-1-4419-5756-6, pp. 251-278, 2010.  (online version,  abstract,  bibtex,  tech. report (pdf))

  68. M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter, "Multi-area predictive control for combined electricity and natural gas systems," Proceedings of the European Control Conference 2009, Budapest, Hungary, pp. 1408-1413, Aug. 2009.  (abstract,  bibtex,  tech. report (pdf))

  69. G. Bajracharya, T. Koltunowicz, R.R. Negenborn, Z. Papp, D. Djairam, B. De Schutter, and J.J. Smit, "Optimization of condition-based asset management using a predictive health model," Proceedings of the 16th International Symposium on High Voltage Engineering, Cape Town, South Africa, pp. 1529-1534, Aug. 2009.  (abstract,  bibtex,  tech. report (pdf))

  70. M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter, "Model-based predictive control applied to multi-carrier energy systems," Proceedings of the 2009 IEEE PES General Meeting, Calgary, Canada, July 2009. Paper 09GM1452.  (abstract,  bibtex,  tech. report (pdf))

  71. R.R. Negenborn, S. Leirens, B. De Schutter, and J. Hellendoorn, "Supervisory nonlinear MPC for emergency voltage control using pattern search," Control Engineering Practice, vol. 7, no. 7, pp. 841-848, July 2009.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  72. G. Bajracharya, T. Koltunowicz, R.R. Negenborn, Z. Papp, D. Djairam, B. De Schutter, and J.J. Smit, "Optimization of maintenance for power system equipment using a predictive health model," Proceedings of the 2009 IEEE Bucharest Power Tech Conference, Bucharest, Romania, June-July 2009. Paper 563.  (abstract,  bibtex,  tech. report (pdf))

  73. M. Houwing, R.R. Negenborn, M.D. Ilić, and B. De Schutter, "Model predictive control of fuel cell micro cogeneration systems," Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, Okayama, Japan, pp. 708-713, Mar. 2009.  (abstract,  bibtex,  tech. report (pdf))

  74. R.R. Negenborn, M. Houwing, B. De Schutter, and J. Hellendoorn, "Model predictive control for residential energy resources using a mixed-logical dynamic model," Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, Okayama, Japan, pp. 702-707, Mar. 2009.  (abstract,  bibtex,  tech. report (pdf))

  75. M. Arnold, R.R. Negenborn, G. Andersson, and B. De Schutter, "Distributed control applied to combined electricity and natural gas infrastructures," Proceedings of the International Conference on Infrastructure Systems 2008: Building Networks for a Brighter Future, Rotterdam, The Netherlands, 6 pp., Nov. 2008. Paper 172.  (abstract,  bibtex,  tech. report (pdf))

  76. R.R. Negenborn, M. Houwing, B. De Schutter, and H. Hellendoorn, "Adaptive prediction model accuracy in the control of residential energy resources," Proceedings of the 17th IEEE International Conference on Control Applications, San Antonio, Texas, pp. 311-316, Sept. 2008.  (abstract,  bibtex,  tech. report (pdf))

  77. M. Houwing, R.R. Negenborn, and B. De Schutter, "Economic advantages of applying model predictive control to distributed energy resources: The case of micro-CHP systems," Proceedings of the 16th Mediterranean Conference on Control and Automation (MED'08), Ajaccio, France, pp. 1550-1555, June 2008.  (online paper,  abstract,  bibtex,  tech. report (pdf))

  78. M. Houwing, R.R. Negenborn, P.W. Heijnen, B. De Schutter, and H. Hellendoorn, "Least-cost model predictive control of residential energy resources when applying μCHP," Proceedings of Power Tech 2007, Lausanne, Switzerland, 6 pp., July 2007. Paper 291.  (abstract,  bibtex,  tech. report (pdf))

  79. G. Hug-Glanzmann, R. Negenborn, G. Andersson, B. De Schutter, and H. Hellendoorn, "Multi-area control of overlapping areas in power systems for FACTS control," Proceedings of Power Tech 2007, Lausanne, Switzerland, 6 pp., July 2007. Paper 277.  (abstract,  bibtex,  tech. report (pdf))

  80. R.R. Negenborn, A.G. Beccuti, T. Demiray, S. Leirens, G. Damm, B. De Schutter, and M. Morari, "Supervisory hybrid model predictive control for voltage stability of power networks," Proceedings of the 2007 American Control Conference, New York, New York, pp. 5444-5449, July 2007.  (abstract,  bibtex,  tech. report (pdf))


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