{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T05:50:45Z","timestamp":1762321845772,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,16]]},"DOI":"10.1109\/sccc51225.2020.9281234","type":"proceedings-article","created":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T03:30:11Z","timestamp":1607571011000},"page":"1-6","source":"Crossref","is-referenced-by-count":19,"title":["Energy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study"],"prefix":"10.1109","author":[{"given":"Julio","family":"Barzola-Monteses","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mayken","family":"Espinoza-Andaluz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Monica","family":"Mite-Leon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Flores-Moran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/1550147719877616"},{"key":"ref11","article-title":"Development of a metamodel to predict cooling energy consumption of HVAC systems in office buildings in different climates","volume":"10","author":"nath lopes","year":"2018","journal-title":"J Sustainability"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/PTC.2019.8810503"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7612623"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2018.11.251"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.12.051"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.114131"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891315"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCBDA.2019.8725704"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.04.095"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489399"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CONCAPANXXXIX47272.2019.8976931"},{"journal-title":"Ley Orgánica de Eficiencia Energética","first-page":"8","year":"2019","key":"ref3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.12.028"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2018.01.075"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2013.03.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-017-2615-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40327-018-0064-7"},{"year":"2018","key":"ref2","article-title":"Balance Energético Nacional 2018"},{"year":"2018","key":"ref1","article-title":"2018 Global Status Report: Towards a zero? emission, efficient and resilient buildings and construction sector"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/en12173254"},{"key":"ref20","first-page":"1","article-title":"Electric load forecasting in smart grids using Long-Short-Term-Memory based Recurrent Neural Network","author":"zheng","year":"2017","journal-title":"2017 51st Annu Conf Inf Sci Syst CISS 2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/su11236539"},{"key":"ref21","first-page":"1130","article-title":"Statistical Model for the Forecast of Hydropower Production in Ecuador","volume":"10","author":"mite-le\u00f3n","year":"2018","journal-title":"Int J Renew Energy Res"},{"journal-title":"Deep Learning with R","year":"2018","author":"chollet","key":"ref24"},{"key":"ref23","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27 (NIPS 2014)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.05.052"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"event":{"name":"2020 39th International Conference of the Chilean Computer Science Society (SCCC)","start":{"date-parts":[[2020,11,16]]},"location":"Coquimbo, Chile","end":{"date-parts":[[2020,11,20]]}},"container-title":["2020 39th International Conference of the Chilean Computer Science Society (SCCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9281144\/9281146\/09281234.pdf?arnumber=9281234","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:17:53Z","timestamp":1656602273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9281234\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,16]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/sccc51225.2020.9281234","relation":{},"subject":[],"published":{"date-parts":[[2020,11,16]]}}}