Power Consumption Behavior Analysis of Power Big Data Based on Cluster Analysis-Reference-Cited by-同舟云学术

Power Consumption Behavior Analysis of Power Big Data Based on Cluster Analysis

Published:2021 Issue: Volume: Page:913-920
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Huang Youzhe,Zhang Cuili,Tu Bing

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-0115-6_103

Reference6 articles.

1. Gong, G., Z. Chen, J. Lu, et al. 2018. Clustering optimization strategy for electricity consumption behavior analysis in smart grid. Automation of Electric Power Systems 42 (2): 58–63.

2. Liu, Gengyuan, Jin Yang, Yan Hao, et al. 2018. Big data-informed energy efficiency assessment of China industry sectors based on K-means clustering. Journal of Cleaner Production 183.

3. Cai, Li Bo, Wei Zhang, Li Xin Zhao, et al. 2017. Monitoring and operation analysis on power environment of computer room based on big data. Applied Mechanics & Materials 864: 258–263.

4. Zeng, Z., X. Li, M. Li, et al. 2014. Analysis of power consumption on laser solder joints of electric connector. Chinese Journal of Electronics 23 (4): 666–668.

5. Yan, Y., G. Sheng, Y. Chen, et al. 2015. An method for anomaly detection of state information of power equipment based on big data analysis. Proceedings of the Csee 35 (1): 52–59.

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