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Towards a sustainable urban future: A comprehensive review of urban heat island research technologies and machine learning approaches
The urban heat island (UHI) is a crucial factor in develo** sustainable cities and societies.
Appropriate data collection, analysis, and prediction are essential first steps in studying the …
Appropriate data collection, analysis, and prediction are essential first steps in studying the …
Human-centric artificial intelligence of things–based indoor environment quality modeling framework for supporting student well-being in educational facilities
Maintaining the quality of indoor environments in educational facilities is crucial for student
comfort, health, well-being, and students' learning performance. Current indoor environment …
comfort, health, well-being, and students' learning performance. Current indoor environment …
A novel global average temperature prediction model——based on GM-ARIMA combination model
X Chen, Z Jiang, H Cheng, H Zheng, D Cai… - Earth Science …, 2024 - Springer
In recent years, under the influence of changes in natural conditions and human social
activities, the issue of global warming has become increasingly prominent. So it is crucial to …
activities, the issue of global warming has become increasingly prominent. So it is crucial to …
A hybrid mechanism-based and data-driven model for efficient indoor temperature distribution prediction with transfer learning
Y Liu, J Wu, Z Xu, Y Shen, X Guan - Energy and Buildings, 2025 - Elsevier
Efficient prediction of indoor temperature distribution (ITD) is crucial for various building-
related applications, particularly in real-time thermal management. Despite efforts from both …
related applications, particularly in real-time thermal management. Despite efforts from both …
[HTML][HTML] Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture
Since the advent of smart agriculture, technological advancements in solar energy have
significantly improved farming practices, resulting in a substantial revival of different crop …
significantly improved farming practices, resulting in a substantial revival of different crop …
Hybrid method for analyzing air thermal conditions in underground mines
Thermal prediction of underground mine air is required to develop control measures against
heat problems. Researchers have extensively studied this topic using numerical simulations; …
heat problems. Researchers have extensively studied this topic using numerical simulations; …
Multi-step fusion model for predicting indoor temperature in residential buildings based on attention mechanism and neural network
G Zheng, R Jia, W Yi, X Yue - Journal of Building Engineering, 2025 - Elsevier
Indoor temperature prediction is vital in HVAC system control, ensuring thermal comfort and
energy efficiency. This study aims to propose a multi-step indoor temperature prediction …
energy efficiency. This study aims to propose a multi-step indoor temperature prediction …
Calibrated models for effective clustering: Discriminating operation schedules in occupied buildings
K Guerrero Ramírez, C Nuevo-Gallardo… - Building …, 2025 - Springer
European directives advocate for end-users to be aware of their energy consumption.
However, individual energy monitoring tools, such as energy meters or cost allocators, are …
However, individual energy monitoring tools, such as energy meters or cost allocators, are …
Climate Change Prediction in Sustainable Healthcare Systems for Biodiverse Ecosystem Based on Satellite Data Modelling
Every area of human life is being impacted by climate change more and more. According to
recent studies, there is a strong association between temperature and human health. It is …
recent studies, there is a strong association between temperature and human health. It is …
[PDF][PDF] Air quality prediction using stacked bi-long short-term memory and convolutional neural network in India
Air quality is a critical aspect of environmental health, and its assessment and prediction
serve as pivotal components in mitigating the adverse effects of air pollution. This study …
serve as pivotal components in mitigating the adverse effects of air pollution. This study …