Channel prediction method based on the data-driving for distribution automation main station
A data-driven channel prediction method for distribution automation master is proposed to address the poor quality of communication network and communication system transmission problems in distribution network communication. In this paper, an adaptive broad learning network (ABLN) consisting of a s...
Main Authors: | Peng Li, Ruifeng Zhao, Huihui Feng, Hailong Wang, Zhiwen Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-04-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1377161/full |
Similar Items
-
An automated learning method of semantic segmentation for train autonomous driving environment understanding
by: Yang Wang, et al.
Published: (2024-02-01) -
Study on the Main Drive Structure of Large Diameter Cold Mill
by: Zhang Dayong
Published: (2016-01-01) -
Beyond the hype: A critical look at the motivations driving automated driving systems research
by: Erik Almlöf
Published: (2024-03-01) -
The Structure of the Porcine Deltacoronavirus Main Protease Reveals a Conserved Target for the Design of Antivirals
by: Fenghua Wang, et al.
Published: (2022-02-01) -
Modernization of historical railway station complexes in small cities (on the example of Alexeevka station, Belgorod region)
by: Nemtsova Yana A.
Published: (2024-06-01)