An artificial neural network-based system to estimate the thermal comfort of buildings with energy efficiency

HIGHLIGHTS

• who: Boutahri Youssef and Tilioua Amine from the The dataset used in this work was originally collected by Elnaklah [11] from the University of Bath in Amman, Jordan, from summer , to winter According to the collector, a portion of the dataset, subjective data, were generated by interviewing employees in the offices. The rest of the dataset is a subjective data, that were generated by measuring environmental parameters inside the workplaces using an embedded system based on a raspberry pi linked to several sensors, the study involves , office buildings in total. The dataset contains data on occupant satisfaction . . .
  

   

  

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