Deep learning based densely connected network for load forecasting

Deep learning based densely connected network for load forecasting

Load forecasting is of crucial importance for operations of electric power systems. In recent years, deep learning based methods are emerging for load forecasting because their strong nonlinear approximation capabilities can provide more forecasting precision than conventional statistical methods. H...

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Bibliographic Details
Main Authors: Li, Zhuoling, Li, Yuanzheng, Liu, Yun, Wang, Ping, Lu, Renzhi, Gooi, Hoay Beng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Autoregressive Processes
Predictive Models
Online Access:https://hdl.handle.net/10356/160610

Internet

https://hdl.handle.net/10356/160610

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