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.
☆23Aug 9, 2022Updated 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for paper "Sparse Variational Gaussian Process based Day-ahead Probabilistic Wind Power Forecasting", IEEE Transactions on Sustaina…☆25Dec 6, 2023Updated 2 years ago
- Codes for "Deep Concatenated Residual Network with Bidirectional LSTM for Short-term Wind Power Forecasting" by Min-seung Ko☆38Dec 15, 2020Updated 5 years ago
- KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution☆23Sep 5, 2022Updated 3 years ago
- [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022☆66Feb 25, 2023Updated 3 years ago
- Codes for kddcup2022☆18Aug 5, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Repository containing the group project Wind Power Forecasting for DTU's 02456 Deep Learning.☆13Apr 7, 2022Updated 4 years ago
- AI for predicting wind power from historical wind data and wind forecasts☆19Mar 10, 2017Updated 9 years ago
- 3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting☆152Sep 21, 2023Updated 2 years ago
- ☆19Jun 15, 2023Updated 3 years ago
- Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https:…☆23Feb 22, 2025Updated last year
- ☆23Jul 28, 2022Updated 3 years ago
- KDD Cup 2022 spatial dynamic wind power forecast challenge solution.☆104Oct 10, 2022Updated 3 years ago
- Code for Deep Spatio Temporal Wind Power Forecasting☆57Jun 23, 2022Updated 3 years ago
- Wind Power Forecasting using Machine Learning techniques.☆36Mar 25, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A combined LSTM and LightGBM framework for improving deterministic and probabilistic wind energy forecasting☆38Jun 1, 2020Updated 6 years ago
- Black Widow Optimization implemented in pure Python.☆14Oct 6, 2022Updated 3 years ago
- Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extre…☆17Oct 10, 2025Updated 8 months ago
- This study considers the prediction and forecasting of solar and wind power generation on a country-wide basis for the Greek energy grid.☆17Jan 12, 2021Updated 5 years ago
- Repository hosting the code and dataset of the project titled "Short-term Renewable Energy Forecasting in Greece using Prophet Decomposit…☆26Jul 22, 2022Updated 3 years ago
- This respiratory contains the implementation codes of wind-speed prediction in energy forecasting. This study focused on deep neural netw…☆11Nov 11, 2022Updated 3 years ago
- Precipitation Nowcasting using DL - CS230 Deep Learning course group project☆22Mar 17, 2020Updated 6 years ago
- Using Machine Learning and R to Forecast Wind Energy in the California Power Grid ⚡💨📈☆11Apr 9, 2024Updated 2 years ago
- Adaptive Data Analysis Applied to Wind Power Forecasting☆14Nov 12, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆10May 18, 2023Updated 3 years ago
- ☆16Jul 10, 2023Updated 2 years ago
- Isomap in Python☆10Mar 1, 2013Updated 13 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 6 years ago
- The code of the base model (TCN-GRU) in article "Wind power forecasting: A temporal domain generalization approach incorporating hybrid m…☆13Apr 2, 2024Updated 2 years ago
- Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method☆104Sep 28, 2023Updated 2 years ago
- ☆14Nov 25, 2025Updated 6 months ago
- wind_power_forecast☆42Jul 29, 2022Updated 3 years ago
- Spatiotemporal Attention Networks for Wind Power Forecasting☆79Sep 21, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The current notebook implements a simple disaggregator for deep-nilmtk models compatible with NILMtk.☆11Jan 14, 2023Updated 3 years ago
- 全国工业大数据算法大赛,省赛二等奖解决方案,已经过实际生产线验证。包括视觉检测模型和动态误差补偿模型。☆20Dec 20, 2021Updated 4 years ago
- MATLAB code for 「Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model」.☆15Nov 23, 2020Updated 5 years ago
- KDD 2022☆10Nov 21, 2024Updated last year
- ☆14May 8, 2025Updated last year
- An accurate and reliable wind power forecasting model that can handle the variability and uncertainty of the wind resource. An ensemble …☆13Jul 6, 2023Updated 2 years ago
- An aided linear integer programming (ALIP) non-intrusive load monitoring (NILM) algorithm.☆10Aug 31, 2017Updated 8 years ago