Data cleaning method of distributed photovoltaic power generation based on clustering algorithm

Autor:	Liying Liao, Xinran Liu, Qiutong Wu, Liyan Kang, Ying Shang
Rok vydání:	2023
Předmět:	History Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2474:012038
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2474/1/012038
Popis:	Due to China’s current energy development strategy, distributed photovoltaic (PV) power generation shows continuous growth. Since PV equipment greatly impacts the distribution network, achieving accurate monitoring of operational data is of greater significance. This paper firstly adopts k-means based clustering algorithm to cluster data into more small clusters and make full use of the characteristics of time series to achieve outlier determination; secondly, it proposes an abnormal data classification processing method to improve data utilization and data cleaning accuracy; finally, it interpolates and fills the rejected abnormal values to ensure data integrity and further improve PV power generation data monitoring.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::479226ba35869c9a8783983314c01f78 https://doi.org/10.1088/1742-6596/2474/1/012038 Zobrazit plný text záznamu