Cristina Martín Andonegui-rekin lankidetzan egindako argitalpenak (13)

2022

  1. E-Mobility in Positive Energy Districts

    Buildings, Vol. 12, Núm. 3

  2. Systematic Analysis and Design of Water Networks with Solar Photovoltaic Energy

    IEEE Transactions on Engineering Management, Vol. 69, Núm. 3, pp. 628-638

2021

  1. Bilbao-ATELIER Data Commons

    Zenodo

  2. Bilbao-ATELIER Data Commons

    Zenodo

  3. Urban district modelling simulation-based analysis: Under which scenarios can we achieve a Positive Energy District?

    18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

2020

  1. Enhancing the missing data imputation of primary substation load demand records

    Sustainable Energy, Grids and Networks, Vol. 23

2019

  1. New methodology for facilitating food wastage quantification. Identifying gaps and data inconsistencies

    Journal of Environmental Management, Vol. 234, pp. 512-524

2017

  1. Artificial neural network modelling of the bioethanol-to-olefins process on a HZSM-5 catalyst treated with alkali

    Applied Soft Computing Journal, Vol. 58, pp. 648-656

2016

  1. Bridging the Gap between Real and Simulated Environments: A Hybrid Agent-Based Smart Home Simulator Architecture for Complex Systems

    Proceedings - 13th IEEE International Conference on Ubiquitous Intelligence and Computing, 13th IEEE International Conference on Advanced and Trusted Computing, 16th IEEE International Conference on Scalable Computing and Communications, IEEE International Conference on Cloud and Big Data Computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016

  2. Evolutionary dynamic optimization of control trajectories for the catalytic transformation of the bioethanol-to-olefins process using neural networks

    GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference

2015

  1. Agent based simulations for the estimation of sustainability indicators

    Procedia Computer Science

  2. An optimisation strategy for the catalytic transformation of bioethanol into olefins using computational intelligence

    CEUR Workshop Proceedings

2014

  1. Evolutionary algorithms for hyperparameter tuning on neural networks models

    26th European Modeling and Simulation Symposium, EMSS 2014