Jesse Van Griensven Thé

Forecasting air quality time series using deep learning

Brian S. Freeman, Graham W. Taylor, Bahram Gharabaghi et al. · Journal of the Air & Waste Management Association · 2018 · 310 citations · Full text

Natural Sciences, Environmental Engineering, Environmental Sciences +7

A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms

Kefei Zhang, Hua Cao, Jesse Van Griensven Thé et al. · Applied Energy · 2021 · 118 citations

Computing, Data Science, Mining Engineering +17

Validation and optimization of SST k-ω turbulence model for pollutant dispersion within a building array

Hesheng Yu, Jesse Van Griensven Thé · Atmospheric Environment · 2016 · 101 citations

Natural Sciences, Building Science, Environmental Engineering +16

Multi-step forecast of PM2.5 and PM10 concentrations using convolutional neural network integrated with spatial–temporal attention and residual learning

Kefei Zhang, Xiaolin Yang, Hua Cao et al. · Environment International · 2022 · 91 citations · Full text

Natural Sciences, Environmental Sciences, Meteorology +17

Multi-step carbon price forecasting using a hybrid model based on multivariate decomposition strategy and deep learning algorithms

Kefei Zhang, Xiaolin Yang, Teng Wang et al. · Journal of Cleaner Production · 2023 · 89 citations · Full text

Computing, Data Science, Economics +17