Short-Term Heavy Overload Forecasting of Public Transformers Based on Combined LSTM-XGBoost Model

Short-Term Heavy Overload Forecasting of Public Transformers Based on Combined LSTM-XGBoost Model

In order to effectively carry out the heavy overload monitoring and maintenance of public transformers in the distribution network, ensure the reliability of the distribution network power supply, and improve customer satisfaction with electricity consumption, this paper presents a short-term heavy...

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Bibliographic Details
Main Authors: Hao Ma, Peng Yang, Fei Wang, Xiaotian Wang, Di Yang, Bo Feng
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
network distribution transformer
heavy overload
LSTM
load forecasting
XGBoost
Online Access:https://www.mdpi.com/1996-1073/16/3/1507

Internet

https://www.mdpi.com/1996-1073/16/3/1507

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