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The novel model is proposed by combining anomaly pattern Symbolic Aggregate Approximation (SAX), processing imbalance data and machine learning techniques for sensor anomaly detection. The advantage of anomaly patterns and machine learning leads to the the proposed model to have better performance. The proposed model consists of three phases: finding anomaly pattern features, processing imbalanced data, exploring data by machine learning model. In this paper, the main contributions with respect to previous works can be listed as follows: (i) Successful modeling the new method of SAX for time series data for finding complex and dynamic anomaly patterns. (ii) Archiving applied anomaly pattern feature into machine learning model Random Forest and hyperparameters optimisation of these model. (iii) Fitfully proposed a model combining SAX, imbalance technique, and random forest to anomaly detection. (iv) Achieving applied proposal model in automatic meter intelligence system in Vietnam. The experiential results of the proposed model have described the robustness and better performance for detecting anomalies of power meter sensors.<\/jats:p>","DOI":"10.3233\/jifs-219285","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T12:13:09Z","timestamp":1647346389000},"page":"1843-1852","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["A novel approach for anomaly detection in automatic meter intelligence system using machine learning and pattern recognition"],"prefix":"10.1177","volume":"43","author":[{"given":"Nguyen Thi Ngoc","family":"Anh","sequence":"first","affiliation":[{"name":"School of Applied Mathematics and Informatics, Hanoi University of Science and Technology, Hanoi, Vietnam"},{"name":"Big Data Lab, CMC Institute of Science and Technology, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pham Ngoc Quang","family":"Anh","sequence":"additional","affiliation":[{"name":"School of Applied Mathematics and Informatics, Hanoi University of Science and Technology, Hanoi, Vietnam"},{"name":"Big Data Lab, CMC Institute of Science and Technology, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vu Hoai","family":"Thu","sequence":"additional","affiliation":[{"name":"Big Data Lab, CMC Institute of Science and Technology, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Doan","family":"Van Thai","sequence":"additional","affiliation":[{"name":"Big Data Lab, CMC Institute of Science and Technology, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vijender Kumar","family":"Solanki","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, TS, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dang Minh","family":"Tuan","sequence":"additional","affiliation":[{"name":"Big Data Lab, CMC Institute of Science and Technology, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,3,12]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.05.013"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-007-0064-z"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.10.001"},{"key":"e_1_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Gonzalez-VidalA. 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