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...

Full description

Bibliographic Details
Main Authors: Tzu-Lun Yuan, Dian-Sheng Jiang, Shih-Yun Huang, Yuan-Yu Hsu, Hung-Chih Yeh, Mong-Na Lo Huang, Chan-Nan Lu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/13/5930