Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm
The realization of a near zero energy consumption building (NZEB) is one of the important
goals to promote the sustainable development of green buildings. To achieve the goal of …
goals to promote the sustainable development of green buildings. To achieve the goal of …
Operational carbon transition in the megalopolises' commercial buildings
Megalopolises are important political and economic centers and offer the best opportunities
for decarbonizing commercial building operations. This study estimates the decarbonization …
for decarbonizing commercial building operations. This study estimates the decarbonization …
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 and optimization of heating and cooling loads in a residential building based on multi-layer perceptron neural network and different optimization algorithms
Y Xu, F Li, A Asgari - Energy, 2022 - Elsevier
Since cooling and heating loads are regarded as significant parameters to examine the
energy performance of buildings, the need to predict and analyze them for the residential …
energy performance of buildings, the need to predict and analyze them for the residential …
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 …
Challenges in implementing data-driven approaches for building life cycle energy assessment: A review
V Venkatraj, MK Dixit - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Over the last few decades, the construction sector's energy consumption has increased
tremendously. Buildings consume both embodied energy (EE) and operational energy (OE) …
tremendously. Buildings consume both embodied energy (EE) and operational energy (OE) …
Seasonal and diurnal surface urban heat islands in China: An investigation of driving factors with three-dimensional urban morphological parameters
Surface urban heat island (SUHI) can considerably influence the urban environment and the
quality of life. It is vital to examine how underlying surface properties impact seasonal and …
quality of life. It is vital to examine how underlying surface properties impact seasonal and …
Spatially heterogeneous effect of temperature on electricity consumption in Shenzhen, China
The relationship between electricity consumption (EC) and temperature (T) influences the
energy supply-demand balance within cities, and a nonlinear EC-T relationship has been …
energy supply-demand balance within cities, and a nonlinear EC-T relationship has been …
Identifying potential superspreaders of airborne infectious diseases in construction projects
The spread of airborne infectious diseases has largely been driven by superspreading
events, in which a single individual directly infects several contacts. Superspreading events …
events, in which a single individual directly infects several contacts. Superspreading events …
Experimental investigation on condensation characteristics of a novel radiant terminal based on sepiolite composite humidity-conditioning coating
The problem of condensation hinders the application and popularization of the radiant
cooling system. According to the characteristics of temperature and humidity independent …
cooling system. According to the characteristics of temperature and humidity independent …