[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Y Pan, M Zhu, Y Lv, Y Yang, Y Liang, R Yin… - Advances in Applied …, 2023 - Elsevier
As one of the most important and advanced technology for carbon-mitigation in the building
sector, building performance simulation (BPS) has played an increasingly important role …

Advances in the research of building energy saving

CZ Li, L Zhang, X Liang, B Xiao, VWY Tam, X Lai… - Energy and …, 2022 - Elsevier
Effectively controlling and reducing the energy consumption of buildings is the global focus.
A considerable variety of research on building energy saving (BES) had been raised in the …

Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation

S Taheri, A Razban - Building and Environment, 2021 - Elsevier
There have been increasing concerns over the air quality inside buildings as high levels of
bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in …

How does future climatic uncertainty affect multi-objective building energy retrofit decisions? Evidence from residential buildings in subtropical Hong Kong

S Liu, Y Wang, X Liu, L Yang, Y Zhang, J He - Sustainable Cities and …, 2023 - Elsevier
Energy consumption of and carbon emissions from buildings, which substantially depend on
outdoor climate conditions, may be susceptible to future climate change. However, how …

Multi-objective optimization design for windows and shading configuration considering energy consumption and thermal comfort: A case study for office building in …

J Zhao, Y Du - Solar Energy, 2020 - Elsevier
As a large energy-consuming part of the envelope, windows and shading system play a
significant role in building savings. Once established in the primary design stage, it is difficult …

Machine learning optimization model for reducing the electricity loads in residential energy forecasting

B Wang, X Wang, N Wang, Z Javaheri… - … Informatics and Systems, 2023 - Elsevier
Recently, households have consumed more power by overusing refrigerators, mobiles,
washing machines, and electrical appliances. The incoming energy needs to be optimized …

Predictive modelling and optimization of HVAC systems using neural network and particle swarm optimization algorithm

Z Afroz, GM Shafiullah, T Urmee, MA Shoeb… - Building and …, 2022 - Elsevier
The concept of maintaining indoor environmental quality comprising building indoor
temperature, relative humidity, CO 2, and volatile organic compound (VOC) level poses new …

[HTML][HTML] Anomaly detection based on machine learning in IoT-based vertical plant wall for indoor climate control

Y Liu, Z Pang, M Karlsson, S Gong - Building and Environment, 2020 - Elsevier
Indoor climate is closely related to human health, comfort and productivity. Vertical plant wall
systems, embedded with sensors and actuators, have become a promising application for …

Effects of climate changes on building energy demand and thermal comfort in Canadian office buildings adopting different temperature setpoints

P Jafarpur, U Berardi - Journal of Building Engineering, 2021 - Elsevier
Office buildings are responsible for a substantial portion of the energy demand in the
commercial sector. To better understand and address the impacts of climate change on their …

Attention-LSTM architecture combined with Bayesian hyperparameter optimization for indoor temperature prediction

B Jiang, H Gong, H Qin, M Zhu - Building and Environment, 2022 - Elsevier
Accurate prediction of indoor temperature can provide more reference data for indoor
thermal comfort assessment and the operational effectiveness of heating, ventilation and air …