{"id":1835,"date":"2026-05-14T10:35:17","date_gmt":"2026-05-14T10:35:17","guid":{"rendered":"https:\/\/hria.utcluj.ro\/?p=1835"},"modified":"2026-05-14T10:39:27","modified_gmt":"2026-05-14T10:39:27","slug":"modele-transformer-si-agentic-digital-twins-pentru-prognoza-si-managementul-energiei-distribuite","status":"publish","type":"post","link":"https:\/\/hria.utcluj.ro\/en\/modele-transformer-si-agentic-digital-twins-pentru-prognoza-si-managementul-energiei-distribuite\/","title":{"rendered":"Modele Transformer \u0219i Agentic Digital Twins pentru prognoza \u0219i managementul energiei distribuite"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Cercet\u0103rile vizeaz\u0103 g\u0103sirea de solu\u021bii bazate pe AI \u0219i concepte de Digital Twin pentru a rezolva problemele complexe de prognoz\u0103 a re\u021belelor de energie distribuite (Smart Grids).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Provoc\u0103rile prognozei \u0219i arhitectura Digital Twin<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Complexitatea Datelor:<\/strong> Prognoza energetic\u0103 este \u00eengreunat\u0103 de natura stocastic\u0103 a vremii \u0219i a comportamentului uman, de tiparele de consum non-sta\u021bionare \u0219i de datele limitate provenite de la senzori de o calitate inferioar\u0103.<\/li>\n\n\n\n<li><strong>Impact de Business:<\/strong> Erorile de predic\u021bie atrag penalit\u0103\u021bi de dezechilibru, oferte gre\u0219ite pe pia\u021b\u0103 \u0219i risip\u0103 de energie.<\/li>\n\n\n\n<li><strong>Solu\u021bia Multi-Strat:<\/strong> Arhitectura propus\u0103 include achizi\u021bia datelor IoT, stocarea \u00een baze de date time-series, simularea comportamentului sistemului prin modele fizice sau AI\/ML \u0219i integrarea direct\u0103 cu un Sistem de Management al Energiei (EMS) pentru control automatizat.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"503\" src=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-forecasting-1024x503.png\" alt=\"\" class=\"wp-image-1836\" srcset=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-forecasting-1024x503.png 1024w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-forecasting-300x147.png 300w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-forecasting-768x377.png 768w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-forecasting-18x9.png 18w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-forecasting.png 1107w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\"><strong>Arhitectura representation-augmented Temporal Fusion Transformer (TFT)<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\" id=\"p-rc_665ccdfbbf9adaa2-457\">Aceast\u0103 abordare hibrid\u0103 \u00eenva\u021b\u0103 reprezent\u0103ri temporale stabilizate pe care le condi\u021bioneaz\u0103 cu informa\u021bii structurale, oferind o prognoz\u0103 interpretabil\u0103<sup><\/sup>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Extragerea Tiparelor Temporale:<\/strong> Folose\u0219te un encoder auto-supervizat (TS2Vec) pentru a transforma semnalele energetice brute \u00een reprezent\u0103ri coerente, atenu\u00e2nd zgomotul \u0219i lipsa datelor.<\/li>\n\n\n\n<li><strong>Condi\u021bionarea Contextului Structural:<\/strong> Informa\u021biile structurale specifice activelor (bazate pe text) sunt procesate printr-un encoder de tip BERT \u0219i injectate \u00een reprezent\u0103rile temporale pentru a capta dinamica specific\u0103.<\/li>\n\n\n\n<li><strong>Prognoz\u0103 Interpretabil\u0103:<\/strong> Modelul selecteaz\u0103 dinamic covariantele relevante la fiecare pas prin intermediul unei re\u021bele de selec\u021bie a variabilelor \u0219i utilizeaz\u0103 un mecanism de tip \u201eInterpretable Masked Self-Attention\u201d pentru a oferi interpretabilitate deciziilor.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"1024\" height=\"573\" src=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-TFT.png\" alt=\"\" class=\"wp-image-1837\" srcset=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-TFT.png 1024w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-TFT-300x168.png 300w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-TFT-768x430.png 768w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/distributed-energy-TFT-18x10.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<h3 class=\"wp-block-heading\"><strong>Conceptul de \u201eAgentic Digital Twin\u201d<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\" id=\"p-rc_665ccdfbbf9adaa2-461\">Reprezint\u0103 un model de genera\u021bie urm\u0103toare care integreaz\u0103 modele fonda\u021bionale pentru a aduce proactivitate, autonomie \u0219i con\u0219tientizare situa\u021bional\u0103 multi-modal\u0103 \u00een sistemele de management energetic<sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup><sup><\/sup>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Percep\u021bie \u0219i Procesare Analitic\u0103:<\/strong> Utilizeaz\u0103 generarea de date prin RAG (Retrieval-Augmented Generation) \u0219i extrage caracteristici din date structurate \u0219i nestructurate.<\/li>\n\n\n\n<li><strong>Baze de Cuno\u0219tin\u021be (Knowledge):<\/strong> Sistemul integreaz\u0103 cuno\u0219tin\u021be dinamice (date \u00een timp real, log-uri), cuno\u0219tin\u021be statice (modele ale componentelor fizice) \u0219i politici (reguli, constr\u00e2ngeri).<\/li>\n\n\n\n<li><strong>Planificarea Ac\u021biunilor \u0219i Ra\u021bionament:<\/strong> Agen\u021bii reflectivi converseaz\u0103 \u00eentre ei (Inter Agents&#8217; conversation) \u0219i genereaz\u0103 scenarii. Se folose\u0219te ra\u021bionamentul simbolic pentru a evita halucina\u021biile sistemului \u0219i pentru a implementa optimiz\u0103ri, exist\u00e2nd mecanisme de siguran\u021b\u0103 de tip \u201eHuman-in-the-Loop\u201d.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"618\" src=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agentic-digital-twin-1024x618.png\" alt=\"\" class=\"wp-image-1838\" srcset=\"https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agentic-digital-twin-1024x618.png 1024w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agentic-digital-twin-300x181.png 300w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agentic-digital-twin-768x464.png 768w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agentic-digital-twin-18x12.png 18w, https:\/\/hria.utcluj.ro\/wp-content\/uploads\/2026\/05\/agentic-digital-twin.png 1327w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Cercet\u0103rile vizeaz\u0103 g\u0103sirea de solu\u021bii bazate pe AI \u0219i concepte de Digital Twin pentru a rezolva problemele complexe de prognoz\u0103 a re\u021belelor de energie distribuite (Smart Grids). Provoc\u0103rile prognozei \u0219i arhitectura Digital Twin Arhitectura representation-augmented Temporal Fusion Transformer (TFT) Aceast\u0103 abordare hibrid\u0103 \u00eenva\u021b\u0103 reprezent\u0103ri temporale stabilizate pe care le condi\u021bioneaz\u0103 cu informa\u021bii structurale, oferind o&hellip;&nbsp;<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"default","neve_meta_enable_content_width":"on","neve_meta_content_width":100,"neve_meta_title_alignment":"","neve_meta_author_avatar":"off","neve_post_elements_order":"[\"content\"]","neve_meta_disable_header":"off","neve_meta_disable_footer":"","neve_meta_disable_title":"","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-1835","post","type-post","status-publish","format-standard","hentry","category-rezultate"],"_links":{"self":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts\/1835","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/comments?post=1835"}],"version-history":[{"count":2,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts\/1835\/revisions"}],"predecessor-version":[{"id":1841,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/posts\/1835\/revisions\/1841"}],"wp:attachment":[{"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/media?parent=1835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/categories?post=1835"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hria.utcluj.ro\/en\/wp-json\/wp\/v2\/tags?post=1835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}