{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:05:24Z","timestamp":1767182724377,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"European Regional Development Fund (ERDF) and the Galician Regional Government, under the agreement for funding the AtlanTTIC Research Center"},{"name":"Spanish Ministry of Economy and Competitiveness","award":["TEC2017-84197-C4-2-R"],"award-info":[{"award-number":["TEC2017-84197-C4-2-R"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,16]]},"DOI":"10.1145\/3416011.3424753","type":"proceedings-article","created":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T18:49:51Z","timestamp":1606243791000},"page":"33-39","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Inferring Energy Consumption Patterns in Public Buildings"],"prefix":"10.1145","author":[{"given":"Rebeca P.","family":"D\u00edaz Redondo","sequence":"first","affiliation":[{"name":"University of Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Fern\u00e1ndez Vilas","sequence":"additional","affiliation":[{"name":"University of Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Abad\u00eda Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"University of Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2011.2107713"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/3000850.3000887"},{"key":"e_1_3_2_1_3_1","volume-title":"Root mean square error (RMSE) or mean absolute error (MAE)?--Arguments against avoiding RMSE in the literature. Geoscientific model development","author":"Chai Tianfeng","year":"2014","unstructured":"Tianfeng Chai and Roland R Draxler . 2014. Root mean square error (RMSE) or mean absolute error (MAE)?--Arguments against avoiding RMSE in the literature. Geoscientific model development , Vol. 7 , 3 ( 2014 ), 1247--1250. Tianfeng Chai and Roland R Draxler. 2014. Root mean square error (RMSE) or mean absolute error (MAE)?--Arguments against avoiding RMSE in the literature. Geoscientific model development, Vol. 7, 3 (2014), 1247--1250."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_5_1","volume-title":"Xgboost: extreme gradient boosting. R package version 0.4--2","author":"Chen Tianqi","year":"2015","unstructured":"Tianqi Chen , Tong He , Michael Benesty , Vadim Khotilovich , and Yuan Tang . 2015. Xgboost: extreme gradient boosting. R package version 0.4--2 ( 2015 ), 1--4. Tianqi Chen, Tong He, Michael Benesty, Vadim Khotilovich, and Yuan Tang. 2015. Xgboost: extreme gradient boosting. R package version 0.4--2 (2015), 1--4."},{"key":"e_1_3_2_1_6_1","volume-title":"Statistical power for cluster analysis. arXiv preprint arXiv:2003.00381","author":"Dalmaijer Edwin S","year":"2020","unstructured":"Edwin S Dalmaijer , Camilla L Nord , and Duncan E Astle . 2020. Statistical power for cluster analysis. arXiv preprint arXiv:2003.00381 ( 2020 ). Edwin S Dalmaijer, Camilla L Nord, and Duncan E Astle. 2020. Statistical power for cluster analysis. arXiv preprint arXiv:2003.00381 (2020)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"e_1_3_2_1_8_1","volume-title":"Fog Computing Solution for Distributed Anomaly Detection in Smart Grids. In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 348--353","author":"El-Awadi Radwa","year":"2019","unstructured":"Radwa El-Awadi , Ana Fern\u00e1ndez-Vilas , and Rebeca P D'iaz Redondo . 2019 . Fog Computing Solution for Distributed Anomaly Detection in Smart Grids. In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 348--353 . Radwa El-Awadi, Ana Fern\u00e1ndez-Vilas, and Rebeca P D'iaz Redondo. 2019. Fog Computing Solution for Distributed Anomaly Detection in Smart Grids. In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 348--353."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISPACS48206.2019.8986377"},{"key":"e_1_3_2_1_10_1","volume-title":"Smart grid?The new and improved power grid: A survey","author":"Fang Xi","year":"2011","unstructured":"Xi Fang , Satyajayant Misra , Guoliang Xue , and Dejun Yang . 2011. Smart grid?The new and improved power grid: A survey . IEEE communications surveys & tutorials, Vol. 14 , 4 ( 2011 ), 944--980. Xi Fang, Satyajayant Misra, Guoliang Xue, and Dejun Yang. 2011. Smart grid?The new and improved power grid: A survey. IEEE communications surveys & tutorials, Vol. 14, 4 (2011), 944--980."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Felix A Gers J\u00fcrgen Schmidhuber and Fred Cummins. 1999. Learning to forget: Continual prediction with LSTM. (1999).  Felix A Gers J\u00fcrgen Schmidhuber and Fred Cummins. 1999. Learning to forget: Continual prediction with LSTM. (1999).","DOI":"10.1049\/cp:19991218"},{"key":"e_1_3_2_1_13_1","volume-title":"LSTM: A search space odyssey","author":"Greff Klaus","year":"2016","unstructured":"Klaus Greff , Rupesh K Srivastava , Jan Koutn'ik , Bas R Steunebrink , and J\u00fcrgen Schmidhuber . 2016 . LSTM: A search space odyssey . IEEE transactions on neural networks and learning systems, Vol. 28 , 10 (2016), 2222--2232. Klaus Greff, Rupesh K Srivastava, Jan Koutn'ik, Bas R Steunebrink, and J\u00fcrgen Schmidhuber. 2016. LSTM: A search space odyssey. IEEE transactions on neural networks and learning systems, Vol. 28, 10 (2016), 2222--2232."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/1972541"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/for.3980090203"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.06.064"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289588"},{"key":"e_1_3_2_1_18_1","first-page":"2349","article-title":"K-Medoid clustering algorithm-a review","volume":"1","author":"Kaur Noor Kamal","year":"2014","unstructured":"Noor Kamal Kaur , Usvir Kaur , and Dr Dheerendra Singh . 2014 . K-Medoid clustering algorithm-a review . International Journal of Computer Application and Technology (IJCAT) , Vol. 1 , 1 (2014), 2349 -- 1841 . Noor Kamal Kaur, Usvir Kaur, and Dr Dheerendra Singh. 2014. K-Medoid clustering algorithm-a review. International Journal of Computer Application and Technology (IJCAT), Vol. 1, 1 (2014), 2349--1841.","journal-title":"International Journal of Computer Application and Technology (IJCAT)"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/3477.764879"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.35"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2737793"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/1367985.1367993"},{"key":"e_1_3_2_1_24_1","volume-title":"Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and buildings","author":"Seem John E","year":"2007","unstructured":"John E Seem . 2007. Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and buildings , Vol. 39 , 1 ( 2007 ), 52--58. John E Seem. 2007. Using intelligent data analysis to detect abnormal energy consumption in buildings. Energy and buildings, Vol. 39, 1 (2007), 52--58."},{"key":"e_1_3_2_1_25_1","first-page":"1","article-title":"Dynamic time warping algorithm review. Information and Computer Science Department University of Hawaii at Manoa Honolulu","volume":"855","author":"Senin Pavel","year":"2008","unstructured":"Pavel Senin . 2008 . Dynamic time warping algorithm review. Information and Computer Science Department University of Hawaii at Manoa Honolulu , USA , Vol. 855 , 1 -- 23 (2008), 40. Pavel Senin. 2008. Dynamic time warping algorithm review. Information and Computer Science Department University of Hawaii at Manoa Honolulu, USA, Vol. 855, 1--23 (2008), 40.","journal-title":"USA"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.2017.1380080"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.05.134"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.08.065"},{"key":"e_1_3_2_1_29_1","volume-title":"Hierarchical cluster analysis: comparison of three linkage measures and application to psychological data. The quantitative methods for psychology","author":"Yim Odilia","year":"2015","unstructured":"Odilia Yim and Kylee T Ramdeen . 2015. Hierarchical cluster analysis: comparison of three linkage measures and application to psychological data. The quantitative methods for psychology , Vol. 11 , 1 ( 2015 ), 8--21. Odilia Yim and Kylee T Ramdeen. 2015. Hierarchical cluster analysis: comparison of three linkage measures and application to psychological data. The quantitative methods for psychology, Vol. 11, 1 (2015), 8--21."}],"event":{"name":"MSWiM '20: 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","sponsor":["SIGSIM ACM Special Interest Group on Simulation and Modeling"],"location":"Alicante Spain","acronym":"MSWiM '20"},"container-title":["Proceedings of the 17th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3416011.3424753","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3416011.3424753","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:43Z","timestamp":1750197763000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3416011.3424753"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,16]]},"references-count":29,"alternative-id":["10.1145\/3416011.3424753","10.1145\/3416011"],"URL":"https:\/\/doi.org\/10.1145\/3416011.3424753","relation":{},"subject":[],"published":{"date-parts":[[2020,11,16]]},"assertion":[{"value":"2020-11-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}