Comparative Analysis of ANN and LSTM Prediction Accuracy and Cooling Energy Savings through AHU-DAT Control in an Office Building

Comparative Analysis of ANN and LSTM Prediction Accuracy and Cooling Energy Savings through AHU-DAT Control in an Office Building

This paper proposes the optimal algorithm for controlling the HVAC system in the target building. Previous studies have analyzed pre-selected algorithms without considering the unique data characteristics of the target building, such as location, climate conditions, and HVAC system type. To address...

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Bibliographic Details
Main Authors: Byeongmo Seo, Yeobeom Yoon, Kwang Ho Lee, Soolyeon Cho
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Buildings
Subjects:
EnergyPlus
artificial neural network
long short-term memory
discharged air temperature
optimal control
Online Access:https://www.mdpi.com/2075-5309/13/6/1434

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