Machine learning models for the prediction of energy consumption based on cooling and heating loads in internet-of-things-based smart buildings

HIGHLIGHTS

• who: Bita Ghasemkhani et al. from the Graduate School Natural and Applied Sciences, Dokuz Eylul University, Izmir, Turkey have published the Article: Machine Learning Models for the Prediction of Energy Consumption Based on Cooling and Heating Loads in Internet-of-Things-Based Smart Buildings, in the Journal: Symmetry 2022, 14, x FOR PEER REVIEW of /2022/
• what: The aim this work is to predict cooling and heating loads as the parameters that impact the amount in some which have the property For this purpose it proposes novel machine learning models that were built by using . . .
  

   

  

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