Short-Term Load Forecasting Method Based on Feature Preference Strategy and LightGBM-XGboost

Short-Term Load Forecasting Method Based on Feature Preference Strategy and LightGBM-XGboost

Short term load forecasting is one of the important problems in power system. Accurate forecasting results can improve the flexibility of power market and resource utilization efficiency, which is of great significance to the efficient operation of power system.A short-term power load forecasting mo...

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Bibliographic Details
Main Authors: Xiaotong Yao, Xiaoli Fu, Chaofei Zong
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Short-term load forecasting
maximum information coefficient
feature filtering
LightGBM
XGBoost
Online Access:https://ieeexplore.ieee.org/document/9832627/

Internet

https://ieeexplore.ieee.org/document/9832627/

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