{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T01:37:47Z","timestamp":1768095467969,"version":"3.49.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100008982","name":"National Priorities Research Program (NPRP) Grant from the Qatar National Research Fund","doi-asserted-by":"publisher","award":["NPRP10-0101-170082"],"award-info":[{"award-number":["NPRP10-0101-170082"]}],"id":[{"id":"10.13039\/100008982","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Internal Seed Grant from Texas A&M University at Qatar"},{"DOI":"10.13039\/501100007039","name":"IBERDROLA Qatar Science and Technology Park (QSTP) LLC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007039","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Access Funding by the Qatar National Library\\"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3072609","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T21:05:35Z","timestamp":1618261535000},"page":"57372-57384","source":"Crossref","is-referenced-by-count":11,"title":["Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3754-4162","authenticated-orcid":false,"given":"Ameema","family":"Zainab","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6808-5886","authenticated-orcid":false,"given":"Ali","family":"Ghrayeb","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8687-3942","authenticated-orcid":false,"given":"Haitham","family":"Abu-Rub","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9392-6141","authenticated-orcid":false,"given":"Shady S.","family":"Refaat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Othmane","family":"Bouhali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.seta.2019.100582"},{"key":"ref32","first-page":"1","article-title":"Performance evaluation of distributed machine learning for load forecasting in smart grids","author":"syed","year":"2020","journal-title":"Proc Cybern Informat (K&I)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3071654"},{"key":"ref30","year":"2021","journal-title":"Spark configuration"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3059730"},{"key":"ref10","first-page":"15","article-title":"Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing","author":"zaharia","year":"2012","journal-title":"Proc 9th USENIX Symp Networked Syst Design Implement"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2622288"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2523616.2523633"},{"key":"ref13","first-page":"295","article-title":"Mesos: A platform for fine-grained resource sharing in the data center","volume":"11","author":"hindman","year":"2011","journal-title":"Proc NSDI"},{"key":"ref14","author":"white","year":"2012","journal-title":"Hadoop The Definitive Guide"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14778\/1687553.1687609"},{"key":"ref16","author":"george","year":"2011","journal-title":"HBase - The Definitive Guide Random Access to Your Planet-Size Data"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2019.9010054"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2012.03.010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS.2014.6965453"},{"key":"ref28","year":"2021","journal-title":"TAMUQ Research Computing Policies&#x2013;Research Computing TAMUQ"},{"key":"ref4","first-page":"95","article-title":"Spark: Cluster computing with working sets","volume":"10","author":"zaharia","year":"2010","journal-title":"HotCloud 2nd USENIX Workshop on Hot Topics in Cloud Computing"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2742797"},{"key":"ref3","first-page":"363","article-title":"Core vector machines: Fast SVM training on very large data sets","volume":"6","author":"tsang","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref29","year":"2021","journal-title":"STAR Project&#x2013;Iberdrola"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32055-7_18"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CIBD.2014.7011537"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.websem.2005.05.006","article-title":"Flink: Semantic Web technology for the extraction and analysis of social networks","volume":"3","author":"mika","year":"2005","journal-title":"J Web Semantics"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2696365"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2397438"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2015.09.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11708-016-0393-y"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3034194"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2686012"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890339"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00202-017-0587-2"},{"key":"ref26","first-page":"1235","article-title":"MLlib: Machine learning in Apache Spark","volume":"17","author":"meng","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref25","year":"2020","journal-title":"Classification and Regression&#x2014;Spark 3 0 1 Documentation"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09400851.pdf?arnumber=9400851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T19:25:11Z","timestamp":1643225111000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9400851\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3072609","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}