Deep learning based densely connected network for load forecasting

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

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...