@article{1433082,
      recid = {1433082},
      author = {Bienvenido-Huertas, David, and Rubio-Bellido, Carlos,},
      title = {Optimization of the characterization of the thermal  properties of the building envelope : analysis of the  characterization of the façades using artificial  intelligence /},
      pages = {1 online resource (vi, 72 pages) :},
      abstract = {This book is about the optimization of the  characterization of the thermal properties of building  envelopes, through experimental tests and the use of  artificial intelligence. It analyses periodic and  stationary thermal properties using measurement approaches  based on the heat flow meter method and the thermometric  method. These measurements are then analysed using advanced  artificial intelligence algorithms. The book is structured  in four parts, beginning with a discussion of the  importance of thermal properties in the energy performance  of buildings. Secondly, theoretical and experimental  methods for characterizing thermal properties are analysed.  Then, the methodology is developed, and the characteristics  and properties of the algorithms used are explored.  Finally, the results obtained with the algorithms are  analysed and the most appropriate approaches are  determined. This book is of interest to researchers, civil  and industrial engineers, energy auditors and architects,  by providing a resource which improves energy audit tasks  in existing buildings.},
      url = {http://library.usi.edu/record/1433082},
      doi = {https://doi.org/10.1007/978-3-030-63629-6},
}