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Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient …
US residential buildings account for a significant share of national energy consumption,
highlighting their potential for energy-savings. Accurately predicting building energy …
highlighting their potential for energy-savings. Accurately predicting building energy …
Enhancing biomass Pyrolysis: Predictive insights from process simulation integrated with interpretable Machine learning models
Waste biomass pyrolysis is a promising thermochemical conversion process for the
production of biofuels and sustainable materials. However, it is challenging to accurately …
production of biofuels and sustainable materials. However, it is challenging to accurately …
A LightGBM-based landslide susceptibility model considering the uncertainty of non-landslide samples
D Sun, X Wu, H Wen, Q Gu - Geomatics, Natural Hazards and Risk, 2023 - Taylor & Francis
The quality of samples is crucial in constructing a data-driven landslide susceptibility model.
This article aims to construct a data-driven landslide susceptibility model that takes into …
This article aims to construct a data-driven landslide susceptibility model that takes into …
CFD-DPM data-driven GWO-SVR for fast prediction of nitrate decomposition in blast furnaces with nozzle arrangement optimization
W Wu, M Zhang, L Zhao, H Dong, J Zhang - Process Safety and …, 2023 - Elsevier
In the industrial production process, it is important to improve the productivity of blast
furnaces in response to the worldwide call for energy saving and emission reduction. In this …
furnaces in response to the worldwide call for energy saving and emission reduction. In this …
Hybrid BO-XGBoost and BO-RF models for the strength prediction of self-compacting mortars with parametric analysis
Self-compacting mortar (SCM) has superior workability and long-term durable performance
compared to traditional mortar. The strength of SCM, including both its compressive and …
compared to traditional mortar. The strength of SCM, including both its compressive and …
Large language model-based interpretable machine learning control in building energy systems
Abstract The potential of Machine Learning Control (MLC) in HVAC systems is hindered by
its opaque nature and inference mechanisms, which is challenging for users and modelers …
its opaque nature and inference mechanisms, which is challenging for users and modelers …
A local thermal sensation model suitable for thermal comfort evaluation of sensitive body segments
Z He, X Zhao, Y Yin, X Chen - Sustainable Cities and Society, 2023 - Elsevier
Nowadays, an indoor environment is created by heating, ventilation, air-conditioning, and
cooling (HVAC) systems that meet the cooling needs of occupants in summer, however …
cooling (HVAC) systems that meet the cooling needs of occupants in summer, however …
Breast cancer diagnosis and management guided by data augmentation, utilizing an integrated framework of SHAP and random augmentation
Recent research indicates that early detection of breast cancer (BC) is critical in achieving
favorable treatment outcomes and reducing the mortality rate associated with it. With the …
favorable treatment outcomes and reducing the mortality rate associated with it. With the …