Study of load forecasting method based on the analysis of load characteristic

Ziyuan Wang; Dongtao Wang

doi:10.1117/12.2620242

29 November 2021 Study of load forecasting method based on the analysis of load characteristic

Ziyuan Wang, Dongtao Wang

Proceedings Volume 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021); 120802V (2021) https://doi.org/10.1117/12.2620242
Event: 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 2021, Nanchang, China

Abstract

Under the influence of policies such as "new infrastructure", great changes have taken place in the energy Internet with power grid as the core, and with the adjustment of industrial structure and the continuous growth of various forms of load, the analysis of load characteristics becomes complicated. In this paper, a method based on load characteristic analysis of load forecasting, first through the feeder DBScan algorithm for city of Jiangsu province for clustering analysis, then the load characteristic analysis was carried out on the differentiation of the industry, the influence factors of different characteristics of electricity industry is also different, finally according to different industry choose different model for load forecasting, The validity of the proposed method is verified.

Citation Download Citation

Ziyuan Wang and Dongtao Wang "Study of load forecasting method based on the analysis of load characteristic", Proc. SPIE 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 120802V (29 November 2021); https://doi.org/10.1117/12.2620242

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