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Industrial Environmental Impact Assessment Method Based on Detection of Complex Anomalies in Time Series

Authors :
Elena Safonova
Alla Kravets
Maxim Shcherbakov
Alexey Kizim
Mohammad Al-Gunaid
Alexander Echin
Source :
Applied System Innovation, Vol 7, Iss 5, p 89 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

To minimize the environmental impact of energy enterprises, it is important to promptly identify cases of possible changes in the quality of wastewater generated at power plants, that is, cases of exceeding the maximum permissible concentrations of contamination in wastewater. The goal of the method for detecting complex anomalies in multidimensional time series obtained from smart energy stations’ sensor channels is to improve the accuracy of detecting contamination levels in industrial wastewater. To achieve this goal, the following tasks were addressed: methods for detecting time series anomalies were analyzed, the method for detecting complex anomalies was developed, software implementation of the algorithm was carried out, and experiments were conducted. The developed method is recommended for use in a smart energy monitoring system.

Details

Language :
English
ISSN :
25715577
Volume :
7
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Applied System Innovation
Publication Type :
Academic Journal
Accession number :
edsdoj.99a95fc8e1764b4484b400fae83fdb46
Document Type :
article
Full Text :
https://doi.org/10.3390/asi7050089