Application of Bidirectional Recurrent Neural Network Combined With Deep Belief Network in Short-Term Load Forecasting

Application of Bidirectional Recurrent Neural Network Combined With Deep Belief Network in Short-Term Load Forecasting

The importance of conducting potential analysis of load data and ensuring the effectiveness of feature selection cannot be overstated when it comes to enhancing the accuracy of short-term power load forecasting. Bisecting K-Means Algorithm is adopted for cluster analysis of the load data, the simila...

Full description

Bibliographic Details
Main Authors: Xianlun Tang, Yuyan Dai, Qing Liu, Xiaoyuan Dang, Jin Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Short-term power load forecasting
ensemble empirical mode decomposition
deep belief network
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/8890630/

Internet

https://ieeexplore.ieee.org/document/8890630/

Similar Items