Data-driven prediction and optimization toward net-zero and positive-energy buildings: A systematic review
Recent advances toward sustainable cities have promoted the concept of near-zero energy
consumption. A Positive Energy Building (PEB) model has been developed by the European …
consumption. A Positive Energy Building (PEB) model has been developed by the European …
[HTML][HTML] The artificial intelligence reformation of sustainable building design approach: A systematic review on building design optimization methods using surrogate …
Artificial Intelligence (AI) applications in building performance prediction for environmental
sustainability outcomes play a significant role in compensating for computationally …
sustainability outcomes play a significant role in compensating for computationally …
Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence
Energy consumption prediction is an integral part of planning and controlling energy used in
the building sector which accounts for 40% of the global energy consumption and a …
the building sector which accounts for 40% of the global energy consumption and a …
Prediction of heating and cooling loads based on light gradient boosting machine algorithms
J Guo, S Yun, Y Meng, N He, D Ye, Z Zhao, L Jia… - Building and …, 2023 - Elsevier
Abstract Machine learning models have been widely used to study the prediction of heating
and cooling loads in residential buildings. However, most of these methods use the default …
and cooling loads in residential buildings. However, most of these methods use the default …
A global building occupant behavior database
This paper introduces a database of 34 field-measured building occupant behavior datasets
collected from 15 countries and 39 institutions across 10 climatic zones covering various …
collected from 15 countries and 39 institutions across 10 climatic zones covering various …
A quantitative analysis of the impact of residential cluster layout on building heating energy consumption in cold IIB regions of China
Q Deng, G Wang, Y Wang, H Zhou, L Ma - Energy and Buildings, 2021 - Elsevier
Residential heating energy consumption in China accounts for about 34% of the total
building operation energy consumption in the country. The layout pattern of residential …
building operation energy consumption in the country. The layout pattern of residential …
Energy modeling and model predictive control for HVAC in buildings: A review of current research trends
Buildings use up to 40% of the global primary energy and 30% of global greenhouse gas
emissions, which may significantly impact climate change. Heating, ventilation, and air …
emissions, which may significantly impact climate change. Heating, ventilation, and air …
A multi-factor optimization method based on thermal comfort for building energy performance with natural ventilation
C Li, Y Chen - Energy and Buildings, 2023 - Elsevier
Natural ventilation is one of the most potential passive measures to improve the building
energy performance. This study introduces a multi-factor optimization method for energy …
energy performance. This study introduces a multi-factor optimization method for energy …
Identifying the most influential parameters in predicting lighting energy consumption in office buildings using data-driven method
Predicting building energy consumption is a necessary step in energy management, energy
saving and optimization. Recently, data-driven models have shown promising performance …
saving and optimization. Recently, data-driven models have shown promising performance …
Occupant-centric HVAC and window control: A reinforcement learning model for enhancing indoor thermal comfort and energy efficiency
Occupant behavior plays a crucial role in enhancing indoor thermal comfort and achieving
energy efficiency by influencing the operational modes of Heating, Ventilation, and Air …
energy efficiency by influencing the operational modes of Heating, Ventilation, and Air …