36 citations · 41 across the 3 of their papers we have counts for
4 papers
Deep Learning and Foundation Models for Weather Prediction: A Survey
Jimeng Shi, Azam Shirali, Bowen Jin +10
Physics-based numerical models have been the bedrock of atmospheric sciences for decades, offering robust solutions but often at the cost of significant computational resources. De…
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
Jimeng Shi, Azam Shirali, Giri Narasimhan
Extreme events are of great importance since they often represent impactive occurrences. For instance, in terms of climate and weather, extreme events might be major storms, floods…
Time Series Forecasting (TSF) Using Various Deep Learning Models
Jimeng Shi, Mahek Jain, Giri Narasimhan
Time Series Forecasting (TSF) is used to predict the target variables at a future time point based on the learning from previous time points. To keep the problem tractable, learnin…
Computational Simulation and Analysis of Major Control Parameters of Time-Dependent PV/T Collectors
Jimeng Shi, Cheng-Xian Lin
In order to improve performance of photovoltaic/thermal (or PV/T for simplicity) collectors, this paper firstly validated a previous computational thermal model and then introduced…