Research on Power Data Value Mining Technology in the Energy Internet Era

DOI

10.2991/978-94-6463-198-2_120How to use a DOI?

Keywords

power data; internal and external values; k-means algorithm; data mining; cluster analysis

Abstract

In recent years, electric power enterprises have gradually accumulated a lot of practical experience in data-based applications, but with the development of the energy Internet, the features of interconnection, openness, peer-to-peer and sharing of the energy Internet have given a new connotation to electric power data, which presents characteristics of multiple sources, heterogeneity, large volume, accuracy and real time, etc. With this comes the challenge of data analysis technology and data application development, which also means that more diverse data applications become possible. This paper systematically summarizes several types of existing electric power data applications, analyzes the research direction and application scenarios of electric power data application technologies in connection with the characteristics of the energy Internet, in order to further promote the value mining of electric power data within and outside the enterprise; at the same time, it optimizes and improves the k-means algorithm for the defect that it is easy to fall into the local optimal solution, and uses the improved k-means algorithm to calculate the clustering The results will help the implementation of value-added applications of power data and promote the healthy development of energy Internet.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Kunpeng Liu
AU  - Ziqian Li
AU  - Yuchen Song
PY  - 2023
DA  - 2023/08/10
TI  - Research on Power Data Value Mining Technology in the Energy Internet Era
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 1162
EP  - 1170
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_120
DO  - 10.2991/978-94-6463-198-2_120
ID  - Liu2023
ER  -