Towards a sustainable urban future: A comprehensive review of urban heat island research technologies and machine learning approaches

S Ghorbany, M Hu, S Yao, C Wang - Sustainability, 2024 - mdpi.com
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 …

[HTML][HTML] Daylighting simulation and visualisation: Navigating challenges in accuracy and validation

M Nazari, B Matusiak - Energy and Buildings, 2024 - Elsevier
Cultural and technological evolution have profoundly transformed architectural simulation
and visualisation, revolutionising how architects communicate and execute projects. The …

PIGNN-CFD: A physics-informed graph neural network for rapid predicting urban wind field defined on unstructured mesh

X Shao, Z Liu, S Zhang, Z Zhao, C Hu - Building and Environment, 2023 - Elsevier
Urban wind field plays an important role in quantitative assessment of urban environment.
Compared to field measurement and wind tunnel experiment, Computational Fluid …

Towards smart energy management for community microgrids: Leveraging deep learning in probabilistic forecasting of renewable energy sources

JJ Quiñones, LR Pineda, J Ostanek… - Energy Conversion and …, 2023 - Elsevier
The intermittent nature of renewable resources like solar and wind presents challenges for
small-scale energy markets and off-grid regions. Localized forecasting of these resources is …

Microclimate spatio-temporal prediction using deep learning and land use data

J Han, A Chong, J Lim, S Ramasamy, NH Wong… - Building and …, 2024 - Elsevier
Urban microclimate prediction is crucial for various fields, including Building Performance
Simulation (BPS), outdoor thermal comfort, building life cycle, and residential health …

Predicting hourly PM2. 5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model

M Yu, A Masrur, C Blaszczak-Boxe - Science of The Total Environment, 2023 - Elsevier
Globally, wildfires are becoming more frequent and destructive, generating a significant
amount of smoke that can transport thousands of miles. Therefore, improving air pollution …

[HTML][HTML] Predicting urban Heat Island in European cities: A comparative study of GRU, DNN, and ANN models using urban morphological variables

AA Tehrani, O Veisi, Y Delavar, S Bahrami… - Urban Climate, 2024 - Elsevier
Continued urbanization, along with anthropogenic global warming, has and will increase
land surface temperature and air temperature anomalies in urban areas when compared to …

Short-term weather forecasting using spatial feature attention based LSTM model

MAR Suleman, S Shridevi - IEEE Access, 2022 - ieeexplore.ieee.org
Weather prediction and meteorological analysis contribute significantly towards sustainable
development to reduce the damage from extreme events which could otherwise set-back the …

Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network …

JD Osorio, Z Wang, G Karniadakis, S Cai… - Energy Conversion and …, 2022 - Elsevier
Modeling and prediction of the dynamic behavior of thermal systems operating under
intermittent energy input and variable load requirements represent one of the greatest …

Accurate and efficient urban wind prediction at city-scale with memory-scalable graph neural network

Z Liu, S Zhang, X Shao, Z Wu - Sustainable Cities and Society, 2023 - Elsevier
The interaction between buildings and wind significantly impacts the comfort and safety of
pedestrians, thereby influencing the sustainability of cities. Computational fluid dynamics …