On Hourly Forecasting Heating Energy Consumption of HVAC with Recurrent Neural Networks

On Hourly Forecasting Heating Energy Consumption of HVAC with Recurrent Neural Networks

Optimizing the heating, ventilation, and air conditioning (HVAC) system to minimize district heating usage in large groups of managed buildings is of the utmost important, and it requires a machine learning (ML) model to predict the energy consumption. An industrial use case to reach large building...

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Bibliographic Details
Main Authors: Iivo Metsä-Eerola, Jukka Pulkkinen, Olli Niemitalo, Olli Koskela
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Energies
Subjects:
HVAC
district heating
machine learning
recurrent neural networks
energy efficiency
Online Access:https://www.mdpi.com/1996-1073/15/14/5084

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https://www.mdpi.com/1996-1073/15/14/5084

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