{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:45:31Z","timestamp":1760240731273,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,8,24]],"date-time":"2019-08-24T00:00:00Z","timestamp":1566604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["SFRH\/DB\/77856\/2011"],"award-info":[{"award-number":["SFRH\/DB\/77856\/2011"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Datasets are important for researchers to build models and test how these perform, as well as to reproduce research experiments from others. This data paper presents the NILM Performance Evaluation dataset (NILMPEds), which is aimed primarily at research reproducibility in the field of Non-intrusive load monitoring. This initial release of NILMPEds is dedicated to event detection algorithms and is comprised of ground-truth data for four test datasets, the specification of 47,950 event detection models, the power events returned by each model in the four test datasets, and the performance of each individual model according to 31 performance metrics.<\/jats:p>","DOI":"10.3390\/data4030127","type":"journal-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T05:55:45Z","timestamp":1566798945000},"page":"127","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["NILMPEds: A Performance Evaluation Dataset for Event Detection Algorithms in Non-Intrusive Load Monitoring"],"prefix":"10.3390","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9110-8775","authenticated-orcid":false,"given":"Lucas","family":"Pereira","sequence":"first","affiliation":[{"name":"ITI, LARSyS, 9020-105 Funchal, Portugal"},{"name":"T\u00e9nico Lisboa, Universidade de Lisboa, 1049-001 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2019,8,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"341ps12","DOI":"10.1126\/scitranslmed.aaf5027","article-title":"What does research reproducibility mean?","volume":"8","author":"Goodman","year":"2016","journal-title":"Sci. Transl. Med."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1870","DOI":"10.1109\/5.192069","article-title":"Nonintrusive appliance load monitoring","volume":"80","author":"Hart","year":"1992","journal-title":"Proc. IEEE"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"e1265","DOI":"10.1002\/widm.1265","article-title":"Performance evaluation in non-intrusive load monitoring: Datasets, metrics, and tools\u2014A review","volume":"8","author":"Pereira","year":"2018","journal-title":"Wiley Interdiscip. Rev. Data Min. Knowl. Discov."},{"key":"ref_4","unstructured":"Berg\u00e9s, M., and Kolter, Z. (2012, January 7). Non-Intrusive Load Monitoring: A Review of the State of the Art. 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