Recurrent Neural Network Based Short-Term Load Forecast with Spline Bases and Real-Time Adaptation
Short-term load forecast (STLF) plays an important role in power system operations. This paper proposes a spline bases-assisted Recurrent Neural Network (RNN) for STLF with a semi-parametric model being adopted to determine the suitable spline bases for constructing the RNN model. To reduce the expo...
Main Authors: | Tzu-Lun Yuan, Dian-Sheng Jiang, Shih-Yun Huang, Yuan-Yu Hsu, Hung-Chih Yeh, Mong-Na Lo Huang, Chan-Nan Lu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/13/5930 |
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