Morales González, Juan Miguel

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Juan M. Morales is currently the head of the research group OASYS ― Optimization and Analytics for Sustainable Energy Systems (oasys.uma.es) at the University of Málaga in Spain, where he also holds a tenured associate professorship position in the Department of Applied Mathematics. Juan M. Morales received his M.Sc. degree in Industrial Engineering from the University of Málaga and his Ph.D. in Electrical Engineering from the University of Castilla – La Mancha, Spain, in 2006 and 2010, respectively. In 2011, he was awarded a Hans Christian Ørsted research fellowship by the Technical University of Denmark, where he was also an associate professor in Stochastic Optimization in Energy Systems within the Department of Applied Mathematics and Computer Science, until 2016. Juan M. Morales’s expertise lies in the fields of Data Analytics and Optimization, with particular focus on their applications to Energy Engineering and Economics, to which he has contributed a number of technical publications, including two monographs on the challenges of a fossil-free energy sector. He is a recipient of a Starting Grant awarded by the European Research Council for his project “Advanced Analytics to Empower the Small Flexible Consumers of Electricity,” a Senior Member of IEEE, and a current member of the editorial boards of IEEE Transactions on Power Systems and the Springer journal TOP (the official journal of the Spanish Society of Statistics and Operations Research). More information about Juan M. Morales’ work can be found on his personal webpage https://sites.google.com/site/jnmmgo/.

Awards

Main research results

  • Jiménez-Cordero, J. M. Morales and S. Pineda (2020). A novel embedded min-max approach for feature selection in nonlinear support vector machine classification, European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2020.12.009
  • Guericke, I. Blanco, J. M. Morales and H. Madsen (2020). A two-phase stochastic programming approach to biomass supply planning for combined heat and power plants, OR Spectrum, https://doi.org/10.1007/s00291-020-00593-x.
  • Ordoudis, P. Pinson and J.M. Morales (2019). An integrated market for electricity and natural gas systems with stochastic power producers. European Journal of the Operational Research, 272(2):642–654.
  • Saez-Gallego and J.M. Morales (2018). Short-term forecasting of price-responsive loads using inverse optimization. IEEE Transactions on Smart Grid, 9(5):4805–4814.
  • Blanco and J.M. Morales (2017). An efficient robust solution to the two-stage stochastic unit commitment problem. IEEE Transactions on Power Systems, 32(5):4477- 4488.
  • M. Morales and S. Pineda (2017). On the inefficiency of the merit order in forward electricity markets with uncertain supply. European Journal of Operational Research, 261(2):789 – 799.
  • Zugno, J.M. Morales, H. Madsen (2016). Commitment and dispatch of heat and power units via affinely adjustable robust optimization. Computers & Operations Research, 75: 191 – 201.
  • B. Iversen, J.M. Morales, J. K. Møller, H. Madsen (2016). Short-term probabilistic forecasting of wind speed using stochastic differential equations. International Journal of Forecasting (special issue on Probabilistic Energy Forecasting), 32(3):981-990.
  • M. Morales, A. J. Conejo, H. Madsen, P. Pinson and M. Zugno (2014). Integrating Renewables in Electricity Markets – Operational Problems, in the International Series in Operations Research and Management Science, Springer, New York, US. ISBN: 978-1-4614-9411-9.
  • J. Conejo, M. Carrión and J. M. Morales (2010). Decision Making under Uncertainty in Electricity Markets, in the International Series in Operations Research and Management Science, Springer, New York, US. ISBN: 978-1-4419-7421-1.

Research highlights

  • IEEE Senior Member (since April 2016).
  • Recipient of an ERC Starting Grant 2017.