BUAABIGSCity/KDDCUP2022
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
This project helps energy operators and grid managers predict wind power output by analyzing historical wind turbine data. It takes in past measurements from multiple wind turbines and outputs highly accurate forecasts of future wind power generation. The primary users are professionals in renewable energy operations or energy grid management who need precise wind power predictions for operational stability and supply security.
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Use this if you need to accurately forecast wind power output from multiple wind turbines to manage energy grids or renewable energy operations.
Not ideal if you need to forecast energy sources other than wind power, or if you are looking for a simple, out-of-the-box forecasting tool without needing to engage with model training details.
Stars
65
Forks
19
Language
Python
License
MIT
Category
Last pushed
Feb 25, 2023
Commits (30d)
0
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