{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T04:44:51Z","timestamp":1720068291815},"reference-count":47,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T00:00:00Z","timestamp":1678147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Novelty detection is a statistical method that verifies new or unknown data, determines whether these data are inliers (within the norm) or outliers (outside the norm), and can be used, for example, in developing classification strategies in machine learning systems for industrial applications. To this end, two types of energy that have evolved over time are solar photovoltaic and wind power generation. Some organizations around the world have developed energy quality standards to avoid known electric disturbances; however, their detection is still a challenge. In this work, several techniques for novelty detection are implemented to detect different electric anomalies (disturbances), which are k-nearest neighbors, Gaussian mixture models, one-class support vector machines, self-organizing maps, stacked autoencoders, and isolation forests. These techniques are applied to signals from real power quality environments of renewable energy systems such as solar photovoltaic and wind power generation. The power disturbances that will be analyzed are considered in the standard IEEE-1159, such as sag, oscillatory transient, flicker, and a condition outside the standard attributed to meteorological conditions. The contribution of the work consists of the development of a methodology based on six techniques for novelty detection of power disturbances, under known and unknown conditions, over real signals in the power quality assessment. The merit of the methodology is a set of techniques that allow to obtain the best performance of each one under different conditions, which constitutes an important contribution to the renewable energy systems.<\/jats:p>","DOI":"10.3390\/s23062908","type":"journal-article","created":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T07:08:14Z","timestamp":1678259294000},"page":"2908","source":"Crossref","is-referenced-by-count":1,"title":["Power Disturbance Monitoring through Techniques for Novelty Detection on Wind Power and Photovoltaic Generation"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-8436-0972","authenticated-orcid":false,"given":"Artvin Darien","family":"Gonzalez-Abreu","sequence":"first","affiliation":[{"name":"CA Mecatr\u00f3nica, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Av. R\u00edo Moctezuma 249, Quer\u00e9taro 76807, Mexico"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0868-2918","authenticated-orcid":false,"given":"Roque Alfredo","family":"Osornio-Rios","sequence":"additional","affiliation":[{"name":"CA Mecatr\u00f3nica, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Av. R\u00edo Moctezuma 249, Quer\u00e9taro 76807, Mexico"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0780-1498","authenticated-orcid":false,"given":"David Alejandro","family":"Elvira-Ortiz","sequence":"additional","affiliation":[{"name":"CA Mecatr\u00f3nica, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Av. R\u00edo Moctezuma 249, Quer\u00e9taro 76807, Mexico"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2381-4782","authenticated-orcid":false,"given":"Arturo Yosimar","family":"Jaen-Cuellar","sequence":"additional","affiliation":[{"name":"CA Mecatr\u00f3nica, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Quer\u00e9taro, Av. R\u00edo Moctezuma 249, Quer\u00e9taro 76807, Mexico"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9282-838X","authenticated-orcid":false,"given":"Miguel","family":"Delgado-Prieto","sequence":"additional","affiliation":[{"name":"MCIA Research Center Department of Electronic Engineering, Technical University of Catalonia (UPC), 08034 Barcelona, Spain"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1898-2228","authenticated-orcid":false,"given":"Jose Alfonso","family":"Antonino-Daviu","sequence":"additional","affiliation":[{"name":"Instituto Tecnol\u00f3gico de la Energ\u00eda, Universitat Polit\u00e8cnica de Val\u00e8ncia (UPV), Camino de Vera s\/n, 46022 Valencia, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1016\/j.eneco.2019.05.019","article-title":"Global Overview for Energy Use of the World Economy: Household-Consumption-Based Accounting Based on the World Input-Output Database (WIOD)","volume":"81","author":"Chen","year":"2019","journal-title":"Energy Econ."},{"key":"ref_2","unstructured":"(2022, December 18). 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