Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach

Y Jin, D Yan, X Kang, A Chong, S Zhan - Energy and Buildings, 2021 - Elsevier
Building occupancy is the basis for building energy simulations, operations, and
management. With the increasing need for energy conservation and the occupant-centric …

Building occupancy forecasting: A systematical and critical review

Y Jin, D Yan, A Chong, B Dong, J An - Energy and buildings, 2021 - Elsevier
Indoor environment construction for occupants has high energy consumption; as such,
occupancy plays a noteworthy role in the complete life cycle phase of buildings, including …

Development of a consecutive occupancy estimation framework for improving the energy demand prediction performance of building energy modeling tools

S Kim, Y Song, Y Sung, D Seo - Energies, 2019 - mdpi.com
To improve the energy prediction performance of a building energy model, the occupancy
status information is very important. This is more important in real buildings, rather than …

Short term predictions of occupancy in commercial buildings—Performance analysis for stochastic models and machine learning approaches

Z Li, B Dong - Energy and Buildings, 2018 - Elsevier
Real-time occupancy predictions are essential components for the smart buildings in the
imminent future. The occupancy information, such as the presence states and the occupants' …

[HTML][HTML] Season-based occupancy prediction in residential buildings using machine learning models

B Yang, F Haghighat, BCM Fung… - e-Prime-Advances in …, 2021 - Elsevier
ABSTRACT A reliable occupancy prediction model plays a critical role in improving the
performance of energy simulation and occupant-centric building operations. In general …

Occupancy data analytics and prediction: A case study

X Liang, T Hong, GQ Shen - Building and Environment, 2016 - Elsevier
Occupants are a critical impact factor of building energy consumption. Numerous previous
studies emphasized the role of occupants and investigated the interactions between …

Review on occupancy detection and prediction in building simulation

Y Ding, S Han, Z Tian, J Yao, W Chen, Q Zhang - Building Simulation, 2022 - Springer
Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …

A new modeling approach for short-term prediction of occupancy in residential buildings

Z Li, B Dong - Building and Environment, 2017 - Elsevier
Occupancy models are necessary towards design and operation of smart buildings.
Developing an appropriate algorithm to predict occupancy presence will allow a better …

Comparing occupancy models and data mining approaches for regular occupancy prediction in commercial buildings

Z Chen, YC Soh - Journal of Building Performance Simulation, 2017 - Taylor & Francis
Occupancy information can help us to achieve high energy-efficient buildings. Previous
works mainly focus on predicting the presence and absence of occupants in homes or single …

Predicting hourly energy consumption in buildings using occupancy-related characteristics of end-user groups

K Song, N Kwon, K Anderson, M Park, HS Lee… - Energy and …, 2017 - Elsevier
Accurate predictions of energy consumption are essential to optimizing building energy use
performance. To date, substantial efforts have been undertaken to improve prediction …