Publications

International Journals
1. Enrique Holgado de Frutos, Juan R. Trapero, Francisco Ramos, (2020) “A literature review on operational decisions applied to collaborative supply chains“, PLOS ONE, 15(3): e0230152. https://doi.org/ 10.1371/journal.pone.0230152
2. Nikolaos Kourentzes, Juan R. Trapero, Devon K. Barrow, (2020) “Optimising forecasting models for inventory planning“, International Journal of Production Economics, volume 225.
3. Juan R. Trapero, Manuel Cardós, Nikolaos Kourentzes, (2019) “Quantile forecast optimal combination to enhance safety stock estimation“, International Journal of Forecasting, Volume 35, pp. 239-250
4. Juan R. Trapero, Manuel Cardós, Nikolaos Kourentzes, (2019) “Empirical safety stock estimation based on Kernel and GARCH models”, OMEGA, The International Journal of Management , Volume 84, pp. 199-211.
5. Marco A. Villegas, Diego J. Pedregal, Juan R. Trapero, (2018) “A support vector machine for model selection. A demand forecasting case study“, Computers & Industrial Engineering, Volume 121, pp. 1-7
6. Trapero, J.R., Horcajada, L., Linares, J.J., Lobato, J. (2017). “Is microbial fuel cell technology ready? An economic answer towards industrial commercialization“, Applied Energy, Volume 185, Part 1, pp. 698-707. DOI: http://dx.doi.org/10.1016/j.ijpe.2016.10.004
7. Trapero, J.R., Pedregal, D.J. (2016). “A novel time-varying bullwhip effect metric. An application to promotional sales“, International Journal of Production Economics, Volume 182, pp. 465-471. DOI: http://dx.doi.org/10.1016/j.ijpe.2016.10.004
8. Trapero, J.R. (2016). “Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates “, Energy, Volume 114, pp. 266-274
9. Trapero, J.R., Kourentzes, Martín, A. (2015). “Short-term solar irradiation forecasting based on Dynamic Harmonic Regression“, Energy, Volume 84, pp. 289-295.
10. Castillo-Manzano, J.I., Pozo-Barajas, R., Trapero, J.R. (2015). “Measuring the substitution effects between High Speed Rail and air transport in Spain“, Journal of Transport Geography, Volume 43, pp. 59-65.
11. Trapero, J.R., Kourentzes, N., Fildes, R. (2015). “On the identification of sales forecasting models in the presence of promotions“, Journal of the Operational Research Society, Volume 66, pp. 299-307
12. Trapero, J.R. (2014). Book review, “Recursive estimation and time-series analysis. An introduction for the Student and Practitioner. Second Edition by Peter C. Young“, International Journal of Forecasting, Volume 31, pp. 91-92
13. Gómez, C. Q., Ruiz de la Hermosa, R., Trapero, J.R., García, F.P. (2014). “A novel approach to fault detection and diagnosis on wind turbines“, Global NEST journal, vol 16, 6, pp. 1029-1037.
14. Kourentzes, N., Petropoulos, F., Trapero, J.R. (2014). “Improving forecasting by estimating time series structural components across multiple frequencies“, International Journal of Forecasting, Volume 30, Issue 2, pp. 291-302
15. Trapero, J. R., Pedregal, D.J., Fildes, R., Kourentzes, N. (2013). “Analysis of judgmental adjustments in the presence of promotions“, International Journal of Forecasting, Volume 29, Issue 2, pp. 234-243.
16. Trapero, J.R., Kourentzes, N., Fildes, R. (2012). “Impact of information exchange on supplier forecasting performance”, OMEGA, The International Journal of Management Science, 40, pp. 738-747.
17. Pereira, E., Trapero, J.R., Muñoz, I., Feliu, V. (2012). “Adaptive input shaping for single-link flexible manipulators using an algebraic identification“, 20 (2), Control Engineering Practice 20 (2), pp. 138-147
18. Pereira, E., Trapero, J.R., Muñoz, I., Feliu, V. (2011). “Algebraic identification of the first two natural frequencies of flexible-beam-like structures”, Mechanical Systems and Signal Processing, 25, pp. 2324-2335.
19. Trapero, J.R., Fildes, R., Davydenko, A. (2011), “Non-linear identification of judgmental forecasts effects at SKU-level”, Journal of Forecasting, 30, pp. 490-508.
20. Morales, A., Nieto, A., Trapero J.R., Chicharro, J., Pintado, P. (2011), “An adaptive pneumatic suspension based on the estimation of the excitation frequency”, Journal of Sound and Vibration, 330, pp. 1891-1903.
21. Pedregal, D., Trapero, J.R. (2010), “Mid-term hourly electricity forecasting based on a multi-rate approach”, Energy Conversion and Management, 51, pp. 105-111.
22. Trapero, J.R. and Pedregal, D. (2009), “Frequency Domain methods applied to forecasting electricity markets”, Energy Economics, 31, pp. 727-735.
23. Pereira, E., Trapero, J.R., Muñoz, I., Feliu, V. (2009). “Adaptive Input Shaping for maneuvering flexible structures using an algebraic identification technique”, Automatica, 45, pp. 1046-1051.
24. Becedas, J., Trapero, J.R., Feliu, V., Sira-Ramírez, H. (2009). “Adaptive Controller for Single-Link Flexible Manipulators based on Algebraic Identification and Generalized Proportional Integral Control”. IEEE Transactions on Systems, Man and Cybernetics, 39, pp. 735-751.
25. Trapero, J.R., Sira-Ramírez, H., Feliu-Batlle, V. (2008). “On the algebraic identification of the frequencies, amplitudes and phases of two sinusoidal signals from their noisy sum”, International Journal of Control, 81, pp. 505-516.
26. Trapero, J.R., Sira-Ramírez, H., Feliu-Batlle, V. (2007). “A fast on-line frequency estimator of lightly damped vibrations in flexible structures”, Journal of Sound and Vibration, 307, pp. 365-378.
27. Pedregal, D.J., Trapero, J.R. (2007). “Forecasting Electricity Prices by Dynamic Harmonic Regression Models”, Energy Conversion and Management, 48, pp. 1710-1719.
28. Trapero, J.R., Sira-Ramírez, H., Feliu-Batlle, V. (2007).“An algebraic frequency estimator for a biased sinusoidal signal”, Signal Processing, 87, pp. 1188-1201
Book chapters
- Time Series Modeling with MATLAB: The SSpace Toolbox, Diego J. Pedregal, Marco A. Villegas, Diego A. Villegas, Juan R. Trapero. In: Valenzuela O., Rojas F., Pomares H., Rojas I. (eds) Theory and Applications of Time Series Analysis. ITISE 2018. Contributions to Statistics. Springer, Cham . DOI:https://doi.org/10.1007/978-3-030-26036-1_6
- A Simulink Library for Supply Chain Simulation, JR Trapero, F Ramos, E. Holgado de Frutos, Springer International Publishing AG, part of Springer Nature 2019. A. Ortiz et al. (Eds.), Engineering Digital Transformation, Lecture Notes in Management and Industrial Engineering, https://doi.org/10.1007/978-3-319-96005-0_41, 343-350.
- Impact of Demand Nature on the Bullwhip Effect. Bridging the gap between theoretical and empirical research, JR Trapero, FP García-Márquez, N. Kourentzes, Proceedings of the Seventh International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, Volume 242, 2014, 1127-1137
- Supply Chain Demand Forecasting: Towards an Integrated Approach, JR Trapero, DJ Pedregal, Industrial Engineering: Innovative Networks, 275-282
- The Power of ECOTOOL MATLAB Toolbox, DJ Pedregal, JR Trapero, Industrial Engineering: Innovative Networks, 319-327
- Recursive Estimation Methods to Forecast Short-Term Solar Irradiance, A. Martin, JR Trapero. Environment, Energy and Climate Change II: Energies from New Resources and the Climate Change, Hdb Env Chem, DOI 10.1007/698_2014_304. G. Lefebvre et al. (eds). Springer International Publishing Switzerland 2014.

Juan Ramón Trapero Arenas

Universidad de Castilla-La Mancha