Power abnormal data detection and short-term load prediction model construction based on genetic algorithm

Ning Zhang; Chenguang Yang

doi:10.1117/12.3009318

27 October 2023 Power abnormal data detection and short-term load prediction model construction based on genetic algorithm

Ning Zhang, Chenguang Yang

Author Affiliations +

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 1292213 (2023) https://doi.org/10.1117/12.3009318
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

With the deepening of power market reform, short-term load prediction becomes more and more important in Electrical Power System (EPS). Combining the historical data of power load with the computer model, we can infer the value or peak value of power load in the future, which is of great significance for power companies to coordinate power allocation and solve the problems of energy and supply and demand. Short-term load prediction is an important part of EPS load prediction, and accurate power load prediction plays an important role in making power generation plans, ensuring production and domestic electricity consumption, controlling economic operation of power grid, and reducing rotating reserve capacity. In this paper, an integrated power data processing architecture is constructed, and a load prediction algorithm based on Genetic Algorithm (GA) and back propagation neural network (BPNN) and an abnormal data detection method based on improved spectral clustering are proposed. The experimental results show that the system has high load prediction accuracy and anomaly detection accuracy, and the operation efficiency is high.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ning Zhang and Chenguang Yang "Power abnormal data detection and short-term load prediction model construction based on genetic algorithm", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 1292213 (27 October 2023); https://doi.org/10.1117/12.3009318

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Power grids

Neurons

Education and training

Genetic algorithms

Data processing

Detection and tracking algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years