ZongXR / Baidu_KDD_CUP_2022Links
Spatial Dynamic Wind Power Forecasting. This task has practical importance for the utilization of wind energy. Participants are expected to accurately estimate the wind power supply of a wind farm.
☆18Updated 3 years ago
Alternatives and similar repositories for Baidu_KDD_CUP_2022
Users that are interested in Baidu_KDD_CUP_2022 are comparing it to the libraries listed below
Sorting:
- KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution☆24Updated 3 years ago
- [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
- wind_power_forecast☆41Updated 3 years ago
- KDD Cup 2022 spatial dynamic wind power forecast challenge solution.☆97Updated 3 years ago
- KDDCUP2022 WPF Competition☆12Updated 3 years ago
- Code for Deep Spatio Temporal Wind Power Forecasting☆56Updated 3 years ago
- Spatiotemporal Attention Networks for Wind Power Forecasting☆78Updated 6 years ago
- 3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting☆137Updated 2 years ago
- ☆23Updated 3 years ago
- Codes for "Deep Concatenated Residual Network with Bidirectional LSTM for Short-term Wind Power Forecasting" by Min-seung Ko☆35Updated 5 years ago
- A combined LSTM and LightGBM framework for improving deterministic and probabilistic wind energy forecasting☆36Updated 5 years ago
- Codes for kddcup2022☆18Updated 3 years ago
- ☆20Updated 2 years ago
- This repository includes the code for the paper titled as "Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Fo…☆14Updated 3 years ago
- Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0☆84Updated last year
- ☆126Updated 3 years ago
- This project implements a bagging based spatio-temporal regression model for wind power forecasting.☆13Updated 7 years ago
- Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization☆30Updated last year
- This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.☆20Updated 7 months ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆50Updated 7 months ago
- ☆31Updated 6 months ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆32Updated last year
- ☆48Updated 4 months ago
- PyTorch implementation of AirFormer, AAAI-23☆152Updated 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
- An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting☆15Updated 4 years ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆32Updated last year
- Explainable Wind Power Forecast with Lale & AIX360☆29Updated 5 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆99Updated last month