New paper published in Computers and Operations Research

 The work On optimal participation in the electricity markets of wind power plants with battery energy storage systems  has been published in the journal Computers and Operations Research.  We present in this study a multi-stage stochastic programming model to find the optimal operation of a VPP in the day-ahead, intraday and secondary reserve markets hile taking into account uncertainty in wind power generation and clearing prices (day-ahead, secondary reserve, intraday markets and system imbalances). A case study with real data from the Iberian electricity market is presented. Preprint available at

New paper published in Journal of Environmental Management

 The paper Stochastic optimal generation bid to electricity markets with emissions risk constraints has been published in the Journal of Environmental Management , Elsevier. This work investigates the influence of the emissions reduction plan and the incorporation of the medium-term derivative commitments in the optimal generation bidding strategy for the day-ahead electricity market. To address emission limitations, we have extended some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), thus leading to the new concept of Conditional Emission at Risk (CEaR). We analyze the economic implications for a GenCo that includes the environmental restrictions of this National Plan as well as the NERP's effects on the expected profits and the optimal generation bid. Preprint available at

Maths for Industry 4.0

Maths for Industry 4.0The Barcelona Graduate School of Mathematics (BGSMath ) organized last February 19 2018 the workshop "Maths for Industry 4.0 " to showcase how academic excellence at BGSMath is helping companies becoming digital through several successful collaborative initiatives, such as industrial doctoral theses or consultancy and development projects of the BGSMaths's research groups in Data Science and Optimization. The workshop will be closed by the round table "Optimising data analytics for industry 4.0" where I was invited to participate as expert in supply chain optimization. This activity is embedded into the Mobile Week Barcelona and it's an open space for reflexion on digital transformation through art, science and technology. More photos of the event at this link .

New website for the research project "Strategical Models in Supply Chain Design"

 A new website for the research project Strategical Models in Supply Chain Design has been deployed at

This site is intended to improve the comunication between the different partners of the project (UPC-Accenture Analytics Barcelona - Accenture Labs Silicon Valley) and to show the progress of this project. All the documentacion related with the project is going to be available at this site (meetings, reports, papers, conference contributions), although some of them will be secured. If you would like to acess to some protected document please send an e-mail to

Recognition for reviewing

  Funny enough, Elsevier is giving certificates to recognize the most relevant reviewers of their journals. I didn't know that they were doing that, and I've found quite funny the idea as, actually, to review paper is a routine activity for every researcher, and I don't think it deserves any special mention. But, of course, everybody wants some certificate to show and thus, here you have one of my certificates Smile

A new MSc Thesis on vehicle routing in collaboration with Accenture.

 Sandra Orozco, a former student of the Interuniversity Master in Statistics and Operations Research UPC-UB , presented the MSc Thesis Rebalancing stocks among retail points of sale . She analysed a variant of the Vehicle Routing Problem where products are distributed from a depot to multiple retail stores using capacitated vehicles and not only the transportation cost but also the lost sales resulting from stock-outs at each location are minimized. Two exact formulations are proposed and solved both woth exact methods and metaheuristics. Moreover, an end-to-end solution is developed through the implementation of a visualization tool in R Shiny, which uses MySQL databases and shell calls to AMPL to simulate the process of a whole day. This thesis has been advised by myself, prof. Elena Fernéndez, from my same department, and Roman Buil, from Accenture.

Contribution to the 4th International Conference on Optimization Methods and Software 2017, La Havana.

 Last december I was invited to the 4th International Conference on Optimization Methods and Software 2017  that was held in La Havana, to present the study A Multistage Stochastic Programming Model for the Optimal Bid of Wind-BESS Virtual Power Plants to Electricity Markets. This study was developed in collaboration with Marlyn Cuadrado and Josep Anton Sánchez, from my same department in the UPC, and is a partial result of the research project FOWGEM. This study is a follow up of the previous work presented in  the WindFarms 2017 Conference extended with a new methodology to treat the uncertainty, based in forecasting models, and the study of the quality of the stochastic solution through the Value of the Stochastic Solution. In the animated graph you can observe how the the probability distribution of several recourse variables (optimal bid, imbalances, charge/discharge and SOC) evolves along five working days.

New MSc Thesis on optimal design of hybrid AC-DC offshore wind power plant topology through MIP.

Credits: Josep HomsThe MSc Thesis entitled A MIP formulation of a Hybrid AC-DC offshore wind power plant topology has been  defended by the student Josep Homs, from the Interuniversity Master in Statistics and Operations Research UPC-UB. This work has been advised by myself in collaboration with Cristina Corchero and Lucia Igualada from the Catalonia Institute for Energy Research. This thesis offers a simple, compact and small-sized MIP optimization model that models a hybrid off-shore wind farm design. The model has been tested with small off-sshore wind farms with 24 turbines and 7 platforms locations that may house up to 28 converters. The optimal solution has been obtained within 162 seconds, proving the great potential of the model. Next, the algorithm has been tested with a large realistic case involving 80 turbines and 10 platform locations that may house up to 40 power converters. In this case, the algorithm is able to find a feasible solution 10 milions EUR cheaper than standard current real-world layout designs in just six hours.

A new contribution on incorporating additive manufacturing to product supply chains

 A new result of the research project Digitalizing Supply Chain Strategy with 3D Printing with Accenture TechLabs and Center for Analytics has been presented in the Manufacturing Engineering Society International Conference 2017 , MESIC 2017. The study compares different possible production strategies for a product (via conventional technologies and Additive Manufacturing) and assesses the degree of postponement that it would be recommended in order to meet a certain demand distribution. The problem solving is calculated by a program containing a stochastic mathematical model which incorporates extensive information on costs and lead times for the required manufacturing operations. This study was published in Procedia Manufacturing.  

BSc Thesis on tight MILP formulation of the unit committment problem

 L'alumne del grau de matemàtiques de l'FME Jordan Escandell ha llegit el treball fi de grau Caracterització de Formulacions Fortes del Problema Unit Commitment. Aquest projecte abordava la caracterització de formulacions fortes del problema Unit Commitment a partir de l'estudi de les diferents desigualtats proposades pels diferents autors així com la seva adaptació i possible millora en la modelització de certs problemes reals de mercats elèctrics. Els models d'optimització matemàtica obtinguts s'han implementat computacionalment i aplicat a la resolució de problemes reals d'oferta òptima a merctas elèctrics.

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