Learning matrix profile method for discord-based attribution of electricity consumption pattern behavior
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2023.2199518
Reference29 articles.
1. Analysis of the Nearest Neighbor Classifiers: A Review
2. Enhancing privacy of electricity consumption in smart cities through morphing of anticipated demand pattern utilizing self-elasticity and genetic algorithms
3. Anticipatory system for detection of hidden facilities utilizing nodal load consumption information in smart grids
4. Classification of daily electric load profiles of non-residential buildings
5. Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings
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1. Research on Identification Method of Electricity Consumption Behavior of Small and Medium-Sized Enterprises Based on Random Forest;2023 IEEE International Conference on Energy Internet (ICEI);2023-10-20
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