Barriers to Renewable Energy Share of the Grid in the Context of Big Data and Countermeasures

Barriers to Renewable Energy Share of the Grid in the Context of Big Data and Countermeasures

China is moving forward, but it pays much attention to data analysis of infinite resource circulation. Therefore, this paper investigates the time-domain convolutional calculation method of deep learning and recurrent calculation method of deep learning and uses them to study and analyze the obstacl...

Full description

Bibliographic Details
Main Authors: Cai Hao, Tang Jing, Feng Fei
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
big data
renewable energy
power generators
time-domain convolutional networks
recurrent neural networks
62-07
Online Access:https://doi.org/10.2478/amns.2023.2.00144

Internet

https://doi.org/10.2478/amns.2023.2.00144

Similar Items