{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T16:48:41Z","timestamp":1780073321888,"version":"3.54.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"S4","license":[{"start":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T00:00:00Z","timestamp":1671580800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T00:00:00Z","timestamp":1671580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Energy Inform"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Natural disasters threat the resilience of the electricity system. However, little literature has investigated the electricity system\u2019s recovering process and progress after natural disasters\u2019 hit which strongly influence the system operators\u2019 planning and quality of the security of supply for the electricity customers. To fill the research gap, this paper applies an unsupervised machine learning method, the k means clustering algorithm, to investigate the normal\/abnormal electricity load profiles, identify natural disaster- and electrical fault-impacted electricity load profiles with a case study of the Lombok electricity system, Indonesia, and \u00bd-hourly electricity load data from 2015 until 2021. The results show that electricity consumption in Lombok has increased over the years, which match the installed production capacity of Lombok. The results prove that the disturbance-induced electricity load patterns and especially natural disaster-impacted load profiles can be identified by the k means clustering algorithm. Especially, the pre-, during, and post-natural disaster impacted load patterns can be portrayed. Furthermore, the investigation results regarding the impacts of natural disasters and electrical faults on the performance of the electricity system, show that the natural disaster-induced load reductions and electrical fault-induced load reductions differ from the short and long-term perspectives. Moreover, the results can facilitate the electricity system operators to better understand the load patterns, predict ND strikes\u2019 impact on the electricity system and conduct better long-term energy management strategies.\n<\/jats:p>","DOI":"10.1186\/s42162-022-00237-0","type":"journal-article","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T00:17:28Z","timestamp":1671581848000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Identification of natural disaster impacted electricity load profiles with k means clustering algorithm"],"prefix":"10.1186","volume":"5","author":[{"given":"Simon Hedeg\u00e5rd","family":"Jessen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng Grace","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco Danang","family":"Wijaya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan C.","family":"Vasquez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josep","family":"Guerrero","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo N\u00f8rregaard","family":"J\u00f8rgensen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,12,21]]},"reference":[{"key":"237_CR1","unstructured":"Agency DE (2015) Security of Supply in Denmark"},{"key":"237_CR2","doi-asserted-by":"publisher","first-page":"012020","DOI":"10.1088\/1757-899x\/105\/1\/012020","volume":"105","author":"Y Amri","year":"2016","unstructured":"Amri Y, Fadhilah AL, Setiani N, Rani S (2016) Analysis Clustering of Electricity Usage Profile Using K-Means Algorithm. 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