Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model

Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model

To tackle the challenges of limited accuracy and poor generalization in short-term load forecasting under complex nonlinear conditions, this study introduces a Prophet–BO–XGBoost-based forecasting framework. This approach employs the XGBoost model to interpret the nonlinear relationships between fea...

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Bibliographic Details
Main Authors: Shuang Zeng, Chang Liu, Heng Zhang, Baoqun Zhang, Yutong Zhao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
short-term load forecasting
Prophet
Bayesian optimization
XGBoost
hyperparameter
Online Access:https://www.mdpi.com/1996-1073/18/2/227
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