Spatio-temporal analysis of power demand in smart grid based on stacked autoencoder

Hai Li*, Jianfeng Feng, Huangjing Gu, Xiangyang Xue, Nannan Yan, Yu Cao, Haosheng Lv, Xiaodi Wang, Tianyu Yang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Energy demand in modern cities is becoming more and more complex. Knowing its pattern can help managers make proper decisions. However, finding the pattern of large-scale spatial coverage fields, such as a whole city, is not easy. In this paper, a data-driven stacked autoencoder-based framework is proposed to capture the spatio-temporal pattern for electricity consumption. The data can be organized as a one-time series and the geography coverage of the analysis can be determined by the collected data. An experiment with collected data proves the feasibility of the framework.

源语言英语
主期刊名Tenth International Conference on Energy Materials and Electrical Engineering, ICEMEE 2024
编辑Yuanhao Wang, Cristian Paul Chioncel
出版商SPIE
ISBN(电子版)9781510686243
DOI
出版状态已出版 - 2024
已对外发布
活动10th International Conference on Energy Materials and Electrical Engineering, ICEMEE 2024 - Lhasa, 中国
期限: 16 8月 202418 8月 2024

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
13419
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议10th International Conference on Energy Materials and Electrical Engineering, ICEMEE 2024
国家/地区中国
Lhasa
时期16/08/2418/08/24

指纹

探究 'Spatio-temporal analysis of power demand in smart grid based on stacked autoencoder' 的科研主题。它们共同构成独一无二的指纹。

引用此

Li, H., Feng, J., Gu, H., Xue, X., Yan, N., Cao, Y., Lv, H., Wang, X., & Yang, T. (2024). Spatio-temporal analysis of power demand in smart grid based on stacked autoencoder. 在 Y. Wang, & C. P. Chioncel (编辑), Tenth International Conference on Energy Materials and Electrical Engineering, ICEMEE 2024 文章 134191T (Proceedings of SPIE - The International Society for Optical Engineering; 卷 13419). SPIE. https://doi.org/10.1117/12.3050488