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https://doi.org/10.2139/ssrn.4656628
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inferredcites →https://doi.org/10.1007/s13143-020-00212-3openalex-extracted
Weather Forecasting Using Ensemble of Spatial-Temporal Attention Network and Multi-Layer Perceptron
inferredcites →https://doi.org/10.1016/j.apenergy.2018.12.076openalex-extracted
Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
inferredcites →https://doi.org/10.1016/j.compag.2023.107705openalex-extracted
A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables
inferredcites →https://doi.org/10.1016/j.knosys.2023.111104openalex-extracted
Spatio-temporal fusion and contrastive learning for urban flow prediction
inferredcites →https://doi.org/10.1016/j.patcog.2017.11.004openalex-extracted
Structural property-aware multilayer network embedding for latent factor analysis
inferredcites →https://doi.org/10.1016/j.procs.2021.08.064openalex-extracted
DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes
inferredcites →https://doi.org/10.1029/2020ms002203openalex-extracted
WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
inferredcites →https://doi.org/10.1038/s41586-023-06184-4openalex-extracted
Skilful nowcasting of extreme precipitation with NowcastNet
inferredcites →https://doi.org/10.1038/s41586-023-06185-3openalex-extracted
Accurate medium-range global weather forecasting with 3D neural networks
inferredcites →https://doi.org/10.1098/rsta.2020.0209openalex-extracted
Time-series forecasting with deep learning: a survey
inferredcites →https://doi.org/10.1109/iccv48922.2021.01205openalex-extracted
AutoFormer: Searching Transformers for Visual Recognition
inferredcites →https://doi.org/10.1109/icdm.2017.49openalex-extracted
A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tkde.2022.3218803openalex-extracted
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-extracted
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1109/tste.2018.2880615openalex-extracted
Ensemble Machine Learning-Based Wind Forecasting to Combine NWP Output With Data From Weather Station
inferredcites →https://doi.org/10.1111/joes.12429openalex-extracted
Machine learning advances for time series forecasting
inferredcites →https://doi.org/10.1126/science.adi2336openalex-extracted
Learning skillful medium-range global weather forecasting
inferredcites →https://doi.org/10.1145/3292500.3330704openalex-extracted
Deep Uncertainty Quantification
inferredcites →https://doi.org/10.1145/3511808.3557702openalex-extracted
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
inferredcites →https://doi.org/10.1175/1520-0450(1972)011<1203:tuomos>2.0.co;2openalex-extracted
The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
inferredcites →https://doi.org/10.1609/aaai.v30i1.9913openalex-extracted
Adaptable Regression Method for Ensemble Consensus Forecasting
inferredcites →https://doi.org/10.1609/aaai.v35i12.17325openalex-extracted
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
inferredcites →https://doi.org/10.1609/aaai.v36i6.20608openalex-extracted
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
inferredcites →https://doi.org/10.1609/aaai.v37i1.25105openalex-extracted
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting
inferredcites →https://doi.org/10.1609/aaai.v37i4.25638openalex-extracted
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data
inferredcites →https://doi.org/10.1609/aaai.v37i9.26317openalex-extracted
Are Transformers Effective for Time Series Forecasting?
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-extracted
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.48448/zn7f-fc64openalex-extracted
SwinRDM: Integrate SwinRNN with Diffusion Model Towards High-Resolution and High-Quality Weather Forecasting
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1706.03458openalex-extracted
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
inferredcites →https://doi.org/10.48550/arxiv.2201.12740openalex-extracted
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
inferredcites →https://doi.org/10.48550/arxiv.2202.11214openalex-extracted
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
inferredcites →https://doi.org/10.48550/arxiv.2206.11669openalex-extracted
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction
inferredcites →https://doi.org/10.48550/arxiv.2301.10343openalex-extracted
ClimaX: A foundation model for weather and climate
inferredcites →https://doi.org/10.48550/arxiv.2304.02948openalex-extracted
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
inferredcites →https://doi.org/10.48550/arxiv.2304.08424openalex-extracted
Long-term Forecasting with TiDE: Time-series Dense Encoder
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