Developing a Long Short-Term Memory-Based Model for Forecasting the Daily Energy Consumption of Heating, Ventilation, and Air Conditioning Systems in Buildings

Developing a Long Short-Term Memory-Based Model for Forecasting the Daily Energy Consumption of Heating, Ventilation, and Air Conditioning Systems in Buildings

Forecasting the energy consumption of heating, ventilating, and air conditioning systems is important for the energy efficiency and sustainability of buildings. In fact, conventional models present limitations in these systems due to their complexity and unpredictability. To overcome this, the long...

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Bibliographic Details
Main Authors: Luis Mendoza-Pittí, Huriviades Calderón-Gómez, José Manuel Gómez-Pulido, Miguel Vargas-Lombardo, José Luis Castillo-Sequera, Clara Simon de Blas
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
daily energy consumption
deep learning
forecasting model
HVAC systems
long short-term memory
short-term forecast
Online Access:https://www.mdpi.com/2076-3417/11/15/6722

Internet

https://www.mdpi.com/2076-3417/11/15/6722

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