Deep Learning Based on Multi-Decomposition for Short-Term Load Forecasting

Deep Learning Based on Multi-Decomposition for Short-Term Load Forecasting

Load forecasting is a key issue for efficient real-time energy management in smart grids. To control the load using demand side management accurately, load forecasting should be predicted in the short term. With the advent of advanced measuring infrastructure, it is possible to measure energy consum...

Full description

Bibliographic Details
Main Authors: Seon Hyeog Kim, Gyul Lee, Gu-Young Kwon, Do-In Kim, Yong-June Shin
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Energies
Subjects:
deep learning
empirical mode decomposition (EMD)
long short-term memory (LSTM)
load forecasting
neural networks
variational mode decomposition (VMD)
weekly decomposition
Online Access:https://www.mdpi.com/1996-1073/11/12/3433

Internet

https://www.mdpi.com/1996-1073/11/12/3433

Similar Items