A Hybrid Approach for Forecasting Occupancy of Building’s Multiple Space Types

A Hybrid Approach for Forecasting Occupancy of Building’s Multiple Space Types

The occupancy datasets are useful for planning important buildings’ related tasks such as optimal design, space utilization, energy management, maintenance, etc. Researchers are currently working on two key issues in building management systems. First, feasible and economical deployment o...

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Bibliographic Details
Main Authors: Iqra Rafiq, Anzar Mahmood, Ubaid Ahmed, Ahsan Raza Khan, Kamran Arshad, Khaled Assaleh, Naeem Iqbal Ratyal, Ahmed Zoha
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Occupancy forecasting
XgBoost
LSTM
LGBM
feature selection
machine learning
Online Access:https://ieeexplore.ieee.org/document/10487954/
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