Short-Term Electrical Load Forecasting Based on Time Augmented Transformer

Short-Term Electrical Load Forecasting Based on Time Augmented Transformer

Abstract Electrical load forecasting is of vital importance in intelligent power management and has been a hot spot in industrial Internet application field. Due to the complex patterns and dynamics of the data, accurate short-term load forecasting is still a challenging task. Currently, many tasks...

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Bibliographic Details
Main Authors: Guangqi Zhang, Chuyuan Wei, Changfeng Jing, Yanxue Wang
Format: Article
Language:English
Published: Springer 2022-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Short-term load forecast
Transformer
Deep neural network
Time augmentation
Online Access:https://doi.org/10.1007/s44196-022-00128-y

Internet

https://doi.org/10.1007/s44196-022-00128-y

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