Publikationen, an denen er mitarbeitet Fernando Terroso Sáenz (15)

2022

  1. A Novel Learning Algorithm Based on Bayesian Statistics: Modelling Thermostat Adjustments for Heating and Cooling in Buildings

    Mathematics, Vol. 10, Núm. 14

  2. Parking Availability Prediction with Coarse-Grained Human Mobility Data

    Computers, Materials and Continua, Vol. 71, Núm. 2, pp. 4355-4375

2019

  1. An open IoT platform for the management and analysis of energy data

    Future Generation Computer Systems, Vol. 92, pp. 1066-1079

2018

  1. An open architecture for IoT data analytics in smart cities

    2017 Global Wireless Summit, GWS 2017

2017

  1. An Open Architecture for IoT Data Analytics in Smart Cities

    2017 GLOBAL WIRELESS SUMMIT (GWS)

  2. Applicability of Big Data Techniques to Smart Cities Deployments

    IEEE Transactions on Industrial Informatics, Vol. 13, Núm. 2, pp. 800-809

  3. Data analytics in Smart Buildings

    Building Blocks for IoT Analytics Internet-of-Things Analytics (River Publishers), pp. 167-206

  4. Data driven modeling for energy consumption prediction in smart buildings

    Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017

  5. Human Mobility Analysis based on Social Media and Fuzzy Clustering

    2017 GLOBAL INTERNET OF THINGS SUMMIT (GIOTS 2017)

  6. Human mobility analysis based on social media and fuzzy clustering

    GIoTS 2017 - Global Internet of Things Summit, Proceedings

  7. Providing personalized energy management and awareness services for energy efficiency in smart buildings

    Sensors (Switzerland), Vol. 17, Núm. 9

2016

  1. Human Mobility Modelling Based on Dense Transit Areas Detection with Opportunistic Sensing

    Mobile Information Systems, Vol. 2016

  2. Human mobility prediction based on social media with complex event processing

    International Journal of Distributed Sensor Networks, Vol. 12, Núm. 9

  3. Towards Energy Efficiency Smart Buildings Models Based on Intelligent Data Analytics

    Procedia Computer Science

  4. Towards anticipate detection of complex event processing rules with probabilistic Modelling

    International Journal of Design and Nature and Ecodynamics, Vol. 11, Núm. 3, pp. 275-283