Clustering and Deep-Learning for Energy Consumption Forecast in Smart Buildings

Clustering and Deep-Learning for Energy Consumption Forecast in Smart Buildings

The proper operation of Heating, Ventilation, and Air Conditioning (HVAC) systems is crucial to reduce energy consumption because they are the major consumers of energy in buildings. Prognostic and Health Management Systems (PHMS) can assist both operators and managers of Smart Buildings, anticipati...

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Bibliographic Details
Main Authors: Desiree Arias-Requejo, Belarmino Pulido, Marcus M. Keane, Carlos J. Alonso-Gonzalez
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Clustering
energy consumption forecast
HVAC systems
LSTM encoder-decoder
smart buildings
time-series forecast
Online Access:https://ieeexplore.ieee.org/document/10319387/

Internet

https://ieeexplore.ieee.org/document/10319387/

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