{"id":88506,"date":"2019-03-05T01:03:58","date_gmt":"2019-03-04T22:03:58","guid":{"rendered":"https:\/\/www.enerjigazetesi.ist\/?p=88506"},"modified":"2019-03-05T01:05:21","modified_gmt":"2019-03-04T22:05:21","slug":"ruzgar-santrallerinde-enerji-uretimi-tahmini-icin-yapay-zeka-ai-kullaniliyor","status":"publish","type":"post","link":"https:\/\/www.enerjigazetesi.ist\/en\/ruzgar-santrallerinde-enerji-uretimi-tahmini-icin-yapay-zeka-ai-kullaniliyor\/","title":{"rendered":"(Turkish) R\u00fczgar Santrallerinde Enerji \u00dcretimi Tahmini \u0130\u00e7in Yapay Zeka (AI) Kullan\u0131l\u0131yor"},"content":{"rendered":"<p class=\"qtranxs-available-languages-message qtranxs-available-languages-message-en\">Sorry, this entry is only available in <a href=\"https:\/\/www.enerjigazetesi.ist\/tr\/wp-json\/wp\/v2\/posts\/88506\" class=\"qtranxs-available-language-link qtranxs-available-language-link-tr\" title=\"Turkish\">Turkish<\/a>. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.<\/p><p><\/p>\n<h1>DeepMind, ABD\u2019deki Google r\u00fczgar santrallerinin enerji \u00fcretiminin nas\u0131l tahmin edilece\u011fini \u00f6ng\u00f6ren yapay zeka (AI) sistemi olu\u015fturdu\u011funu iddia ediyor. R\u00fczgar\u0131n de\u011fi\u015fken do\u011fas\u0131, bir r\u00fczgar santralinin herhangi bir zaman diliminde ne kadar enerji \u00fcretebilece\u011fini do\u011fru tahmin etmeyi zorla\u015ft\u0131r\u0131r. Ancak, DeepMind, AI sisteminin, ger\u00e7ek \u00fcretimin 36 saat \u00f6ncesindeki r\u00fczgar g\u00fcc\u00fc \u00e7\u0131k\u0131\u015f\u0131n\u0131 makul bir hassasiyetle tahmin edebilece\u011fini dile getiriyor.<\/h1>\n<p><img loading=\"lazy\" class=\"alignleft size-medium wp-image-88508\" src=\"https:\/\/www.enerjigazetesi.ist\/wp-content\/uploads\/2019\/03\/ruzgar-santrallerinde-enerji-uretimi-tahmini-icin-yapay-zeka-ai-kullaniliyor-300x233.jpg\" alt=\"\" width=\"300\" height=\"233\" srcset=\"https:\/\/www.enerjigazetesi.ist\/wp-content\/uploads\/2019\/03\/ruzgar-santrallerinde-enerji-uretimi-tahmini-icin-yapay-zeka-ai-kullaniliyor-300x233.jpg 300w, https:\/\/www.enerjigazetesi.ist\/wp-content\/uploads\/2019\/03\/ruzgar-santrallerinde-enerji-uretimi-tahmini-icin-yapay-zeka-ai-kullaniliyor-500x389.jpg 500w, https:\/\/www.enerjigazetesi.ist\/wp-content\/uploads\/2019\/03\/ruzgar-santrallerinde-enerji-uretimi-tahmini-icin-yapay-zeka-ai-kullaniliyor-64x50.jpg 64w, https:\/\/www.enerjigazetesi.ist\/wp-content\/uploads\/2019\/03\/ruzgar-santrallerinde-enerji-uretimi-tahmini-icin-yapay-zeka-ai-kullaniliyor.jpg 628w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>DeepMind ara\u015ft\u0131rmac\u0131lar\u0131ndan olu\u015fan bir ekip, &#8220;Bu tahminlere dayanarak, modelimiz, elektrik \u015febekesine tam g\u00fcn boyunca en uygun saatlik teslimat taahh\u00fctlerinin nas\u0131l yap\u0131ld\u0131\u011f\u0131n\u0131 \u00f6nceden \u00f6nerir. Bu \u00f6nemli, \u00e7\u00fcnk\u00fc programlanabilen enerji kaynaklar\u0131, (\u00f6rne\u011fin; belirli bir zamanda belirli bir miktarda elektrik sa\u011flayabilir) genellikle \u015febekeye g\u00f6re daha de\u011ferlidir.<\/p>\n<p>Google, DeepMind\u2019in AI sisteminin r\u00fczg\u00e2r enerjisinin \u201cde\u011ferini\u201d yakla\u015f\u0131k %20 art\u0131rd\u0131\u011f\u0131n\u0131 iddia ediyor. Ara\u015ft\u0131rmac\u0131lar, \u201cR\u00fczgar\u0131n de\u011fi\u015fkenli\u011fini ortadan kald\u0131ram\u0131yoruz, ancak ilk sonu\u00e7lar\u0131m\u0131z r\u00fczgar enerjisini yeterince daha \u00f6ng\u00f6r\u00fclebilir ve de\u011ferli hale getirmek i\u00e7in makine \u00f6\u011frenimini kullanabilece\u011fimizi g\u00f6steriyor\u201d diye ekledi.<\/p>\n<p>DeepMind, 2014\u2019de 400 milyon sterlin kar\u015f\u0131l\u0131\u011f\u0131nda Google taraf\u0131ndan sat\u0131n al\u0131nan Londra merkezli bir AI laboratuvar\u0131d\u0131r. DeepMind, enerji talebini daha iyi tahmin etmek i\u00e7in AI teknolojisinin nas\u0131l kullan\u0131laca\u011f\u0131 hakk\u0131nda \u0130ngiltere Ulusal \u015eebekesi ile g\u00f6r\u00fc\u015f\u00fcyor. Mart 2017\u2019de DeepMind Kurucusu ve CEO\u2019su Demis Hassabis \u015funlar\u0131 ifade etti: &#8220;Ulusal \u015eebeke ve di\u011fer b\u00fcy\u00fck sa\u011flay\u0131c\u0131larla ya\u015fad\u0131klar\u0131 problemlere nas\u0131l bakabilece\u011fimiz hakk\u0131nda konu\u015fmam\u0131z i\u00e7in hen\u00fcz \u00e7ok erken. Herhangi bir yeni altyap\u0131 olmadan \u00fclkenin enerji kullan\u0131m\u0131n\u0131n %10\u2019unu kurtarabilmeniz harika olurdu&#8221;.<\/p>\n<p><a href=\"https:\/\/www.forbes.com\/sites\/samshead\/2019\/02\/27\/deepmind-and-google-train-ai-to-predict-energy-output-of-wind-farms\/#1309e8775e9e\">Forbes<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Sorry, this entry is only available in Turkish. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language. DeepMind, ABD\u2019deki Google r\u00fczgar santrallerinin enerji \u00fcretiminin nas\u0131l tahmin edilece\u011fini \u00f6ng\u00f6ren yapay zeka (AI) sistemi olu\u015fturdu\u011funu iddia ediyor. R\u00fczgar\u0131n de\u011fi\u015fken do\u011fas\u0131, bir [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":88508,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[51,53,50],"tags":[1198,40179,30763,33487,42030,67,1009,47362,47361,1769,24949,47363,23318,34961,35035,5131,34960,30764],"views":1112,"_links":{"self":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/88506"}],"collection":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/comments?post=88506"}],"version-history":[{"count":0,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/88506\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media\/88508"}],"wp:attachment":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media?parent=88506"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/categories?post=88506"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/tags?post=88506"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}