Construction of electric emergency materials storage system based on BP neural network

Xinlei Song; Yue Chen; Chuanyi Liu; Dongliang Wang; Hui Qin

doi:10.1117/12.2679606

16 June 2023 Construction of electric emergency materials storage system based on BP neural network

Xinlei Song, Yue Chen, Chuanyi Liu, Dongliang Wang, Hui Qin

Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127022E (2023) https://doi.org/10.1117/12.2679606
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China

Abstract

The demand forecasting of power supply is an indispensable part of China's energy production and consumption. The scale of power grid construction in China has been expanding and the load growth rate has accelerated. Accidents, equipment failures and personnel unemployment often occur in the power system. BP neural network has certain algorithm advantages. Therefore, in order to ensure the safety and demand of residents and buildings, it is necessary to study the emergency materials storage system of power grid based on BP neural network. This paper mainly uses experimental testing and quantitative analysis methods to study the advantages and methods of BP neural network algorithm in the construction and application of electric emergency materials storage system. The experimental data shows that the learning rate of 0.06 selected by BP neural network is the most appropriate in the construction of storage system.

Citation Download Citation

Xinlei Song, Yue Chen, Chuanyi Liu, Dongliang Wang, and Hui Qin "Construction of electric emergency materials storage system based on BP neural network", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127022E (16 June 2023); https://doi.org/10.1117/12.2679606

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available