{"id":1933,"date":"2026-05-06T19:25:01","date_gmt":"2026-05-06T22:25:01","guid":{"rendered":"https:\/\/www.cear.ufpb.br\/peteletrica\/?page_id=1933"},"modified":"2026-05-06T19:25:01","modified_gmt":"2026-05-06T22:25:01","slug":"modelos-de-previsao-de-demanda-de-energia-usando-transformers","status":"publish","type":"page","link":"https:\/\/www.cear.ufpb.br\/peteletrica\/modelos-de-previsao-de-demanda-de-energia-usando-transformers\/","title":{"rendered":"Modelos de Previs\u00e3o de Demanda de Energia Usando Transformers"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"has-text-align-right wp-block-paragraph\"><strong>Orientador:<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-right wp-block-paragraph\"><strong>Orientando(s):<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-right wp-block-paragraph\"><strong>Resumo:<\/strong><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"wp-block-paragraph\">Juan Moises Mauricio Villanueva<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Edward William Turnell Suruagy<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A previs\u00e3o de demanda de energia \u00e9 vital para a opera\u00e7\u00e3o eficiente das redes modernas, pois permite que concession\u00e1rias equilibrem a gera\u00e7\u00e3o e evitem desperd\u00edcios ou falhas. Para garantir essa precis\u00e3o, torna-se necess\u00e1ria a utiliza\u00e7\u00e3o de modelos computacionais avan\u00e7ados capazes de processar grandes volumes de dados hist\u00f3ricos, contexto em que os Transformers, arquiteturas de Intelig\u00eancia Artificial, se destacam pela alta efici\u00eancia. Nesse sentido, a aplica\u00e7\u00e3o de redes neurais baseadas em Transformers supera m\u00e9todos tradicionais ao empregar mecanismos de desvio-padr\u00e3o, que identificam quais informa\u00e7\u00f5es do banco de dados s\u00e3o mais relevantes para prever a carga de um dia futuro. J\u00e1 em sistemas de distribui\u00e7\u00e3o, essa tecnologia mostra-se essencial para obter previs\u00f5es mais precisas, aproveitando anos de dados e contribuindo para a redu\u00e7\u00e3o de custos operacionais significativos no setor el\u00e9trico.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Orientador: Orientando(s): Resumo: Juan Moises Mauricio Villanueva Edward William Turnell Suruagy A previs\u00e3o de demanda [&hellip;]<\/p>\n","protected":false},"author":427,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1933","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/pages\/1933","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/comments?post=1933"}],"version-history":[{"count":4,"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/pages\/1933\/revisions"}],"predecessor-version":[{"id":1937,"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/pages\/1933\/revisions\/1937"}],"wp:attachment":[{"href":"https:\/\/www.cear.ufpb.br\/peteletrica\/wp-json\/wp\/v2\/media?parent=1933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}