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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 …
[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 …
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
Urban wind field plays an important role in quantitative assessment of urban environment.
Compared to field measurement and wind tunnel experiment, Computational Fluid …
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 …
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
Urban microclimate prediction is crucial for various fields, including Building Performance
Simulation (BPS), outdoor thermal comfort, building life cycle, and residential health …
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
Globally, wildfires are becoming more frequent and destructive, generating a significant
amount of smoke that can transport thousands of miles. Therefore, improving air pollution …
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
Continued urbanization, along with anthropogenic global warming, has and will increase
land surface temperature and air temperature anomalies in urban areas when compared to …
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 …
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 …
Modeling and prediction of the dynamic behavior of thermal systems operating under
intermittent energy input and variable load requirements represent one of the greatest …
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
The interaction between buildings and wind significantly impacts the comfort and safety of
pedestrians, thereby influencing the sustainability of cities. Computational fluid dynamics …
pedestrians, thereby influencing the sustainability of cities. Computational fluid dynamics …