.. _Working_papers:

Working papers
===============

We never rest! `FlexAnalytics` continues its research with the following working papers and preprints:

#. | R. Mieth, **J.M. Morales** and H.V. Poor, `Data valuation from data-driven optimization <https://arxiv.org/abs/2305.01775>`_, latest version.
#. | J.G. De la Varga, S. Pineda, J.M. Morales, Á. Porras, `Learning-based improvement in state estimation for unobservable systems <https://arxiv.org/abs/2307.16822>`_, submitted July, 2023.  
#. | S.Pineda, J.M. Morales, Á. Porras and C. Domínguez, `Tight big-Ms for optimal transmission switching <https://arxiv.org/abs/2306.02784>`_, submitted June, 2023.
#. | C. Domínguez, R. Gázguez, J.M. Morales and S. Pineda, `The cooperative maximum capture facility location problem <https://arxiv.org/abs/2305.15169>`_, submitted May, 2023.
#. | S.Pineda, J.M. Morales and A. Jiménez-Cordero, `Learning-assisted optimization for transmission switching <https://arxiv.org/abs/2304.07269>`_, submitted April, 2023. 
#. | **Á. Porras**, Line Roald, J.M. Morales and S. Pineda, `Integrating automatic and manual reserves in optimal power flow via chance constraints <https://arxiv.org/abs/2303.05412>`_, submitted March, 2023.
#. | **A. Elías**, R. Jiménez, A. M. Paganoni and L. Sangalli `A depth for censured functional data <https://e-archivo.uc3m.es/handle/10016/28579>`_, latest version.