J. R. Trapero

发表

Recursive Estimation and Time-Series Analysis. An Introduction for the Student and Practitioner, Second edition, Peter C. Young. Springer (2011), 504 pp., Hardcover, $119.00, ISBN: 978-3-642-21980-1

J. R. Trapero, J. Trapero, 2015 .

A fast on-line algebraic estimation of a single-link flexible arm applied to GPI control

H. Sira-Ramírez, J. Becedas, G. Mamani, 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

Empirical safety stock estimation based on kernel and GARCH models

J. R. Trapero, M. Cardós, N. Kourentzes, 2019, Omega.

A fast on-line frequency estimator of lightly damped vibrations in flexible structures

H. Sira-Ramírez, V. F. Batlle, J. R. Trapero, 2007 .

A new SVM-based ensemble approach for time series forecasting

Marco A. Villegas, J. R. Trapero, D. J. Pedregal, 2017 .

Analysis of judgmental adjustments in the presence of promotions

R. Fildes, J. R. Trapero, D. J. Pedregal, 2013 .

Impact of Demand Nature on the Bullwhip Effect. Bridging the Gap between Theoretical and Empirical Research

J. R. Trapero, N. Kourentzes, F. Garc'ia, 2014 .

Electricity prices forecasting by automatic dynamic harmonic regression models

J. R. Trapero, D. J. Pedregal, 2007 .

An algebraic approach to fast perturbed sinusoidal signal parameters identification

H. Sira-Ramírez, V. F. Batlle, J. R. Trapero, 2006 .

Mid-term hourly electricity forecasting based on a multi-rate approach

Juan R. Trapero, Diego J. Pedregal, J. R. Trapero, 2010 .

A novel time-varying bullwhip effect metric: An application to promotional sales

Juan R. Trapero, Diego J. Pedregal, J. R. Trapero, 2016 .

Measuring the behaviour of experts on demand forecasting: a complex task

J. R. Trapero, N. Kourentzes, I. Svetunkov, 2014 .

Is methanol synthesis from co-gasification of olive pomace and petcoke economically feasible?

J. R. Trapero, M. Puig-Gamero, P. Sanchez, 2020 .

Chapter book “ Impact of Demand Nature on the Bullwhip Effect . Bridging the Gap between Theoretical and Empirical Research

J. R. Trapero, F. García, 2022 .

Nonlinear identification of judgmental forecasts effects at SKU level

Juan R. Trapero, Robert Fildes, Andrey Davydenko, 2011 .

Autonomous CPSoS for Cognitive Large Manufacturing Industries

Jesús Fernández-Bermejo Ruiz, J. R. Trapero, J. C. López, 2021, IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society.

Impact of the forecast price on economic results for methanol production from olive waste

J. R. Trapero, D. J. Pedregal, P. Sánchez, 2021, Fuel.

Quantile forecast optimal combination to enhance safety stock estimation

Juan R. Trapero, Nikolaos Kourentzes, Manuel Cardós, 2019, International Journal of Forecasting.

Measuring the substitution effects between High Speed Rail and air transport in Spain

Juan R. Trapero, José I. Castillo-Manzano, Rafael Pozo-Barajas, 2015 .

The Power of ECOTOOL MATLAB Toolbox

Diego J. Pedregal, Juan R. Trapero, J. R. Trapero, 2012 .

Frequency domain methods applied to forecasting electricity markets

Juan R. Trapero, Diego J. Pedregal, J. R. Trapero, 2009 .

A literature review on operational decisions applied to collaborative supply chains

Enrique Holgado de Frutos, Juan R Trapero, Francisco Ramos, 2020, PloS one.

On the Automatic Identification of Unobserved Components Models

Diego José Pedregal Tercero, Juan Ramón Trapero, J. R. Trapero, 2020, Contributions to Statistics.

Adaptive Controller for Single-Link Flexible Manipulators Based on Algebraic Identification and Generalized Proportional Integral Control

Jonathan Becedas, Vicente Feliú Batlle, Hebertt Sira-Ramírez, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Is microbial fuel cell technology ready? An economic answer towards industrial commercialization

Juan R. Trapero, Justo Lobato, Laura Horcajada, 2017 .

On the identification of sales forecasting models in the presence of promotions

Juan R. Trapero, Nikolaos Kourentzes, Robert Fildes, 2015, J. Oper. Res. Soc..

A support vector machine for model selection in demand forecasting applications

Marco A. Villegas, Diego J. Pedregal, J. R. Trapero, 2018, Comput. Ind. Eng..

Optimising Forecasting Models for Inventory Planning

Nikolaos Kourentzes, Devon K. Barrow, J. R. Trapero, 2019, International Journal of Production Economics.

A Simulink Library for Supply Chain Simulation

Juan R. Trapero, Francisco Javier Ramos, Enrique Holgado de Frutos, 2018, Lecture Notes in Management and Industrial Engineering.

A Non-parametric Enhancement of the Fill Rate Estimation

Eugenia Babiloni, Ester Massó Guijarro, Juan Ramon Trapero, 2018 .

Short-term solar irradiation forecasting based on Dynamic Harmonic Regression

Nikos Kourentzes, Juan R. Trapero, Alberto Martín, 2015 .

Impact of Information Exchange on Supplier Forecasting Performance

Juan R. Trapero, Nikolaos Kourentzes, Robert Fildes, 2012 .

Connecting forecasting and inventory performance: a complex task

Juan R. Trapero, Nikolaos Kourentzes, Ivan Svetunkov, 2021, SSRN Electronic Journal.

Improving forecasting by estimating time series structural components across multiple frequencies

F. Petropoulos, J. R. Trapero, Nikos Kourentzes, 2014 .

Recursive Estimation Methods to Forecast Short-Term Solar Irradiation

Juan R. Trapero, Alberto Martín, J. R. Trapero, 2014 .

Adaptive input shaping for single-link flexible manipulators using an algebraic identification

Vicente Feliu, Juan R. Trapero, Iván M. Díaz, 2012 .

On the use of multi-step cost functions for generating forecasts

Juan R. Trapero, Nikolaos Kourentzes, J. R. Trapero, 2018 .

Adaptive input shaping for manoeuvring flexible structures using an algebraic identification technique

Vicente Feliú Batlle, Iván M. Díaz, Emiliano Pereira, 2009, Autom..

Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance

Juan R. Trapero, Diego J. Pedregal, J. R. Trapero, 2021 .

Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates

Juan R. Trapero, J. R. Trapero, 2016 .

Impact of Information Exchange on Supplier Forecasting Performance

R. Fildes, J. R. Trapero, N. Kourentzes, 2012 .

Implementation of probabilistic forecasts in a GPU for big data problems

Juan Ramón Trapero, J. R. Trapero, 2019 .

Supply Chain Demand Forecasting: Towards an Integrated Approach

Diego J. Pedregal, Juan R. Trapero, J. R. Trapero, 2012 .

Fast identification method to control a flexible manipulator with parameter uncertainties

Jonathan Becedas, Vicente Feliú Batlle, Hebertt Sira-Ramírez, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.