Short-Term Load Forecasting Based on Improved TCN and DenseNet

Short-Term Load Forecasting Based on Improved TCN and DenseNet

With the grid-connected application of renewable energy sources such as wind and photovoltaic power, the nonlinearity and fluctuation of load data makes load forecasting more difficult than ever before. In order to extract the implicit relationship between multiple features and power load to constru...

Full description

Bibliographic Details
Main Authors: Mingping Liu, Hao Qin, Ran Cao, Suhui Deng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Short-term load forecasting
improved temporal convolutional network
densely connected convolutional network
self-attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9938386/

Internet

https://ieeexplore.ieee.org/document/9938386/

Similar Items