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 |
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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 | 是 |
活动 | 10th International Conference on Energy Materials and Electrical Engineering, ICEMEE 2024 - Lhasa, 中国 期限: 16 8月 2024 → 18 8月 2024 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 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 |
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国家/地区 | 中国 |
市 | Lhasa |
时期 | 16/08/24 → 18/08/24 |
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