BUAABIGSCity / KDDCUP2022Links
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
☆63Updated 2 years ago
Alternatives and similar repositories for KDDCUP2022
Users that are interested in KDDCUP2022 are comparing it to the libraries listed below
Sorting:
- wind_power_forecast☆41Updated 3 years ago
- KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution☆24Updated 3 years ago
- KDD Cup 2022 spatial dynamic wind power forecast challenge solution.☆102Updated 3 years ago
- KDDCUP2022 WPF Competition☆12Updated 3 years ago
- Code for Deep Spatio Temporal Wind Power Forecasting☆56Updated 3 years ago
- 3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting☆144Updated 2 years ago
- Spatiotemporal Attention Networks for Wind Power Forecasting☆78Updated 6 years ago
- ☆23Updated 3 years ago
- ☆20Updated 2 years ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆33Updated 2 years ago
- ☆14Updated 3 years ago
- This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.☆20Updated 8 months ago
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆32Updated last year
- PyTorch implementation of AirFormer, AAAI-23☆156Updated 3 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆64Updated last year
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 3 years ago
- ☆25Updated 3 years ago
- This is the PyTorch implementation of TPA-LSTM☆60Updated 6 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- ☆107Updated last year
- Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…☆128Updated 3 years ago
- ☆57Updated last year
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆37Updated 5 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆108Updated 10 months ago
- ☆67Updated 4 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆100Updated 2 months ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆74Updated 5 years ago
- 本赛题要求选手基于风力海况气象数据、风机性能数据等，针对复杂多变气象和海况条件的深度耦合影响，提出海上风电出力预测模型，提升模型精度以及在工程应用中的可信度，为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342，排名83；B榜得分0.06745705，…☆28Updated last year
- Transformer based model for time series prediction☆134Updated 3 years ago
- A pytorch re-implementation of STFGNN☆30Updated 2 years ago