{"id":201232,"date":"2025-10-23T16:52:54","date_gmt":"2025-10-23T13:52:54","guid":{"rendered":"https:\/\/www.enerjigazetesi.ist\/?p=201232"},"modified":"2025-10-23T17:33:16","modified_gmt":"2025-10-23T14:33:16","slug":"yapay-zeka-enerjiye-akil-katiyor","status":"publish","type":"post","link":"https:\/\/www.enerjigazetesi.ist\/en\/yapay-zeka-enerjiye-akil-katiyor\/","title":{"rendered":"(Turkish) Yapay Zek\u00e2 Enerjiye Ak\u0131l Kat\u0131yor!"},"content":{"rendered":"

Sorry, this entry is only available in 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>\n

Veriye dayal\u0131 ak\u0131ll\u0131 sistemler sayesinde enerji t\u00fcketimi anl\u0131k olarak izleniyor, ge\u00e7mi\u015f verilerden \u00f6\u011frenilerek kay\u0131plar y\u00fczde 30\u2019a kadar azalt\u0131labiliyor. EYOPAN(Elektrik-Yaz\u0131l\u0131m-Otomasyon-Pano) kurucu ortaklar\u0131 Elektrik-Elektronik M\u00fchendisi U\u011fur Do\u011fan ve Mekatronik M\u00fchendisi Bar\u0131\u015f Demir,<\/strong> yapay zek\u00e2n\u0131n enerji, yaz\u0131l\u0131m ve otomasyonu b\u00fct\u00fcnle\u015ftirerek sanayi tesislerinde s\u00fcrd\u00fcr\u00fclebilir verimlilik sa\u011flad\u0131\u011f\u0131n\u0131 vurguluyor. Bu teknolojiler, hem \u00fcretim maliyetlerini d\u00fc\u015f\u00fcr\u00fcyor hem de karbon sal\u0131m\u0131n\u0131 ciddi oranda azaltarak \u00e7evresel s\u00fcrd\u00fcr\u00fclebilirli\u011fi g\u00fc\u00e7lendiriyor. EYOPAN m\u00fchendislerine g\u00f6re art\u0131k enerji yaln\u0131zca \u00f6l\u00e7\u00fclm\u00fcyor; \u00f6\u011freniliyor, \u00f6ng\u00f6r\u00fcl\u00fcyor ve gelece\u011fe y\u00f6n veriyor.<\/strong><\/h2>\n

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Enerji, art\u0131k yaln\u0131zca \u00fcretim ve t\u00fcketim dengesiyle y\u00f6netilen bir alan de\u011fil; veriye dayal\u0131, \u00f6ng\u00f6r\u00fclebilir ve ak\u0131ll\u0131 sistemlerle optimize edilen bir m\u00fchendislik disiplini haline geldi. D\u00fcnyada yapay zek\u00e2 destekli enerji sistemlerinin kullan\u0131m\u0131 h\u0131zla artarken, T\u00fcrkiye\u2019de de sanayi tesisleri ve \u00fcretim merkezleri bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn par\u00e7as\u0131 oluyor. Yapay zek\u00e2, enerji verimlili\u011finde hem performans\u0131 art\u0131r\u0131yor hem de s\u00fcrd\u00fcr\u00fclebilirlik hedeflerine ula\u015fmay\u0131 kolayla\u015ft\u0131r\u0131yor. Uluslararas\u0131 ara\u015ft\u0131rmalara g\u00f6re yapay zek\u00e2 tabanl\u0131 enerji y\u00f6netim sistemleri, enerji maliyetlerini y\u00fczde 30\u2019a kadar d\u00fc\u015f\u00fcr\u00fcrken, karbon sal\u0131m\u0131n\u0131 y\u00fczde 40\u2019a varan oranlarda azaltabiliyor. Google\u2019\u0131n veri merkezlerinde AI kullan\u0131m\u0131yla enerji verimlili\u011finde 23 katl\u0131k bir iyile\u015fme sa\u011flanm\u0131\u015f durumda.<\/p>\n

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EYOPAN(Elektrik-Yaz\u0131l\u0131m-Otomasyon-Pano) kurucu ortaklar\u0131 Elektrik-Elektronik M\u00fchendisi U\u011fur Do\u011fan ve Mekatronik M\u00fchendisi Bar\u0131\u015f Demir, EYOPAN(Elektrik-Yaz\u0131l\u0131m-Otomasyon-Pano) kurucu ortaklar\u0131ndan Elektrik-Elektronik M\u00fchendisi U\u011fur Do\u011fan<\/p><\/div>\n

U\u011fur Do\u011fan: \u201cEnerji kay\u0131plar\u0131n\u0131 y\u00fczde 30 azaltmak m\u00fcmk\u00fcn!\u201d<\/strong><\/h3>\n

EYOPAN(Elektrik-Yaz\u0131l\u0131m-Otomasyon-Pano) kurucu ortaklar\u0131ndan Elektrik-Elektronik M\u00fchendisi U\u011fur Do\u011fan <\/strong>\u201cEnerji verimlili\u011finde art\u0131k \u00f6l\u00e7\u00fcm de\u011fil, \u00f6\u011frenme \u00e7a\u011f\u0131nday\u0131z. Yapay zek\u00e2 destekli sistemlerle enerji t\u00fcketimini anl\u0131k izlemekle kalm\u0131yor, ge\u00e7mi\u015f verilerden \u00f6\u011frenerek gelecekteki ihtiya\u00e7lar\u0131 tahmin edebiliyoruz. Bu sayede hem enerji kay\u0131plar\u0131n\u0131 hem de bak\u0131m maliyetlerini y\u00fczde 20-30 oran\u0131nda azaltmak m\u00fcmk\u00fcn. \u00d6zellikle sanayi tesislerinde ak\u0131ll\u0131 otomasyon \u00e7\u00f6z\u00fcmleri \u00fcretim s\u00fcreklili\u011fini art\u0131r\u0131yor, karbon ayak izini ciddi \u00f6l\u00e7\u00fcde d\u00fc\u015f\u00fcr\u00fcyor.\u201d<\/em> Dedi.<\/p>\n

Bar\u0131\u015f Demir: \u201cYapay zek\u00e2, sistemin t\u00fcm bile\u015fenlerini birbirine konu\u015fturuyor\u201d<\/strong><\/h3>\n

\u201cMekatronik m\u00fchendisli\u011fi perspektifinden bakt\u0131\u011f\u0131m\u0131zda yapay zek\u00e2, sistemin t\u00fcm bile\u015fenlerini birbirine konu\u015fturuyor\u201d<\/em> diyen EYOPAN(Elektrik-Yaz\u0131l\u0131m-Otomasyon-Pano) kurucu ortaklar\u0131 Elektrik-Elektronik M\u00fchendisi U\u011fur Do\u011fan ve Mekatronik M\u00fchendisi Bar\u0131\u015f Demir<\/strong> \u201cEnerji, yaz\u0131l\u0131m ve otomasyon art\u0131k ayr\u0131 d\u00fcnyalar de\u011fil; entegre, dinamik bir yap\u0131 olu\u015fturuyor. Dijital ikiz teknolojileriyle tesislerin sanal modellerini olu\u015fturarak olas\u0131 enerji senaryolar\u0131n\u0131 test edebiliyoruz. Bu, i\u015fletmelere hem verimlilik hem de rekabet avantaj\u0131 kazand\u0131r\u0131yor.\u201d<\/em> ifadesini kulland\u0131.<\/p>\n

Sanayide Verimlili\u011fin Yeni Anahtar\u0131: Yapay Zek\u00e2<\/strong><\/h3>\n

EYOPAN m\u00fchendislerine g\u00f6re yapay zek\u00e2 sayesinde enerji sistemleri art\u0131k \u201creaktif\u201d de\u011fil, \u201c\u00f6ng\u00f6r\u00fcc\u00fc\u201d \u00e7al\u0131\u015f\u0131yor. Makine \u00f6\u011frenimi algoritmalar\u0131, \u00fcretim hatlar\u0131ndan binalara, g\u00fcne\u015f santrallerinden panolara kadar her noktada enerji t\u00fcketimini analiz edip en verimli \u00e7\u00f6z\u00fcm\u00fc kendi kendine \u00f6nerebiliyor. T\u00fcrkiye\u2019de enerji yo\u011fun sekt\u00f6rlerde dijitalle\u015fme oran\u0131 h\u0131zla artarken, yerli firmalar\u0131n bu d\u00f6n\u00fc\u015f\u00fcme \u00f6nc\u00fcl\u00fck etmesi b\u00fcy\u00fck \u00f6nem ta\u015f\u0131yor.<\/p>\n

U\u011fur Do\u011fan ve Bar\u0131\u015f Demir, T\u00fcrkiye\u2019nin bu alanda ciddi bir potansiyele sahip oldu\u011funa dikkat \u00e7ekerek \u015fu ifadeleri kulland\u0131lar: \u201c\u00dclkemizde otomasyon altyap\u0131s\u0131 g\u00fc\u00e7l\u00fc. Yapay zek\u00e2 tabanl\u0131 enerji \u00e7\u00f6z\u00fcmleri yerli m\u00fchendisli\u011fin katk\u0131s\u0131yla yayg\u0131nla\u015f\u0131rsa, hem \u00fcretim maliyetleri d\u00fc\u015fer hem de enerji ithalat\u0131 azal\u0131r. Ak\u0131ll\u0131 enerji, sadece bir teknoloji yat\u0131r\u0131m\u0131 de\u011fil, milli ekonomi i\u00e7in stratejik bir hamle.\u201d<\/em> dedi.<\/p>\n

Enerjiyi De\u011fil, Gelece\u011fi Y\u00f6netiyoruz<\/strong><\/h3>\n

EYOPAN, enerji verimlili\u011fi, otomasyon ve yaz\u0131l\u0131m alanlar\u0131nda geli\u015ftirdi\u011fi m\u00fchendislik \u00e7\u00f6z\u00fcmleriyle i\u015fletmelerin dijital d\u00f6n\u00fc\u015f\u00fcm s\u00fcre\u00e7lerine rehberlik ediyor. Do\u011fan ve Demir\u2019in ortak vizyonu ise net: \u201cYapay zek\u00e2 enerjiyi \u00f6l\u00e7menin \u00f6tesine ta\u015f\u0131yor; art\u0131k enerjiyi anlamak, yorumlamak ve y\u00f6netmek m\u00fcmk\u00fcn. Biz EYOPAN olarak bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn par\u00e7as\u0131 de\u011fil, \u00f6nc\u00fcs\u00fc olmay\u0131 hedefliyoruz.\u201d<\/em> dedi.<\/p>\n

Yay\u0131na Alan: Alperen ERTA\u015e-alperen.ertas@enerjigazetesi.ist<\/a><\/p>","protected":false},"excerpt":{"rendered":"

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. Veriye dayal\u0131 ak\u0131ll\u0131 sistemler sayesinde enerji t\u00fcketimi anl\u0131k olarak izleniyor, ge\u00e7mi\u015f verilerden \u00f6\u011frenilerek kay\u0131plar y\u00fczde 30\u2019a kadar azalt\u0131labiliyor. EYOPAN(Elektrik-Yaz\u0131l\u0131m-Otomasyon-Pano) kurucu ortaklar\u0131 Elektrik-Elektronik […]<\/p>\n","protected":false},"author":19,"featured_media":201233,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[51,53,52,49,50,157],"tags":[1968,148,117372,117373,30764],"views":25,"_links":{"self":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/201232"}],"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\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/comments?post=201232"}],"version-history":[{"count":0,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/201232\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media\/201233"}],"wp:attachment":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media?parent=201232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/categories?post=201232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/tags?post=201232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}