Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data

Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data

Extensive research has focused on optimizing energy consumption in residential buildings based on indoor thermal conditions. However, modeling the energy and thermal behavior of non-residential buildings presents greater challenges due to their complex geometries and the high computational cost of d...

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Bibliographic Details
Main Authors: Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
mathematical modeling
artificial neural network
non-residential buildings
energy consumptions
optimization function
thermal conditions
Online Access:https://www.mdpi.com/1996-1073/18/12/3031
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