{"id":43830,"date":"2020-01-17T14:12:56","date_gmt":"2020-01-17T13:12:56","guid":{"rendered":"https:\/\/aleasoft.com\/?page_id=43830"},"modified":"2022-01-18T08:26:39","modified_gmt":"2022-01-18T07:26:39","slug":"aleamodel","status":"publish","type":"page","link":"https:\/\/aleasoft.com\/it\/aleamodel\/","title":{"rendered":"AleaModel"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"43830\" class=\"elementor elementor-43830\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e03fc76 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e03fc76\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bfe235c\" data-id=\"bfe235c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bc6dd4e elementor-widget elementor-widget-spacer\" data-id=\"bc6dd4e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-787d7e4 elementor-widget elementor-widget-heading\" data-id=\"787d7e4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">AleaModel<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-20fa7e7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"20fa7e7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-c26d500\" data-id=\"c26d500\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c7e673c elementor-widget elementor-widget-text-editor\" data-id=\"c7e673c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>AleaModel<\/strong> \u00e8 un tipo di modello di previsione esclusivo di <strong>AleaSoft<\/strong>, sviluppato appositamente per la previsione energetica, che supera i metodi di previsione tradizionali.<\/p><p>AleaModel sfrutta gli ultimi progressi della statistica e dell&#8217;intelligenza artificiale nel campo delle previsioni. \u00c8 un approccio di modello ibrido che combina la potenza delle <strong>reti neurali artificiali<\/strong> e l&#8217;efficienza del modello di tipo <strong>SARIMA<\/strong> di <strong>Box\u2011Jenkins<\/strong> e della <strong>regressione multipla<\/strong>. In questo modo, puoi sfruttare i vantaggi di ogni metodo e superarne i limiti se utilizzato singolarmente.<\/p><p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-43626\" src=\"https:\/\/aleasoft.com\/wp-content\/uploads\/2020\/01\/AleaSoft-Model-Word.jpg\" alt=\"\" width=\"368\" height=\"323\" srcset=\"https:\/\/aleasoft.com\/wp-content\/uploads\/2020\/01\/AleaSoft-Model-Word.jpg 368w, https:\/\/aleasoft.com\/wp-content\/uploads\/2020\/01\/AleaSoft-Model-Word-300x263.jpg 300w\" sizes=\"(max-width: 368px) 100vw, 368px\" \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-e4e6380\" data-id=\"e4e6380\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-36dbcf3 elementor-widget elementor-widget-text-editor\" data-id=\"36dbcf3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Il risultato \u00e8 una <strong>rete neurale artificiale<\/strong> con una struttura di tipo <strong>SARIMA<\/strong> in grado di catturare le dinamiche stagionali e l&#8217;evoluzione delle serie che migliora i limiti delle classiche <strong>reti neurali<\/strong> artificiali utilizzate nelle previsioni delle serie temporali.<\/p><p>L&#8217;utilizzo di soglie e trasformazioni aritmetiche nelle variabili consente l&#8217;introduzione di non linearit\u00e0 nella regressione di pi\u00f9 variabili, per determinarne l&#8217;influenza e la correlazione.<\/p><p>L&#8217;utilizzo di una <strong>Rete Neurale Artificiale<\/strong> in <strong>AleaModel<\/strong> per regolare dinamicamente i parametri <strong>SARIMA<\/strong> e <strong>Regressione<\/strong> permette di fornire uno schema adattativo in grado di reagire immediatamente ai cambiamenti dell&#8217;andamento delle serie temporali e all&#8217;influenza delle variabili, cambiamenti che solitamente si trovano presenti in dati del mondo reale, offrendo un modello di previsione sempre aggiornato senza la necessit\u00e0 di formazione manuale periodica.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-04b1b07 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"04b1b07\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4f54e9e\" data-id=\"4f54e9e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ebb8e54 elementor-widget elementor-widget-spacer\" data-id=\"ebb8e54\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AleaModel \u00e8 un tipo di modello di previsione esclusivo di AleaSoft, sviluppato appositamente per la previsione energetica, che supera i metodi di previsione tradizionali. AleaModel sfrutta gli ultimi progressi della statistica e dell&#8217;intelligenza artificiale nel campo delle previsioni. \u00c8 un approccio di modello ibrido che combina la potenza delle reti neurali artificiali e l&#8217;efficienza del [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":109021,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-43830","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AleaModel - AleaSoft Energy Forecasting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aleasoft.com\/it\/aleamodel\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AleaModel\" \/>\n<meta property=\"og:description\" content=\"AleaModel \u00e8 un tipo di modello di previsione esclusivo di AleaSoft, sviluppato appositamente per la previsione energetica, che supera i metodi di previsione tradizionali. AleaModel sfrutta gli ultimi progressi della statistica e dell&#8217;intelligenza artificiale nel campo delle previsioni. \u00c8 un approccio di modello ibrido che combina la potenza delle reti neurali artificiali e l&#8217;efficienza del [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/aleasoft.com\/it\/aleamodel\/\" \/>\n<meta property=\"og:site_name\" content=\"AleaSoft Energy Forecasting\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/AleaSoft\/\" \/>\n<meta property=\"article:modified_time\" content=\"2022-01-18T07:26:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/aleasoft.com\/wp-content\/uploads\/2021\/01\/20210122-AleaSoft-AleaModel-characteristics.png\" \/>\n\t<meta property=\"og:image:width\" content=\"911\" \/>\n\t<meta property=\"og:image:height\" content=\"851\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@AleaSoftEnergy\" \/>\n<meta name=\"twitter:label1\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/\",\"url\":\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/\",\"name\":\"AleaModel - AleaSoft Energy Forecasting\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/aleasoft.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/aleasoft.com\\\/wp-content\\\/uploads\\\/2021\\\/01\\\/20210122-AleaSoft-AleaModel-characteristics.png\",\"datePublished\":\"2020-01-17T13:12:56+00:00\",\"dateModified\":\"2022-01-18T07:26:39+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/#primaryimage\",\"url\":\"https:\\\/\\\/aleasoft.com\\\/wp-content\\\/uploads\\\/2021\\\/01\\\/20210122-AleaSoft-AleaModel-characteristics.png\",\"contentUrl\":\"https:\\\/\\\/aleasoft.com\\\/wp-content\\\/uploads\\\/2021\\\/01\\\/20210122-AleaSoft-AleaModel-characteristics.png\",\"width\":911,\"height\":851},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/aleasoft.com\\\/it\\\/aleamodel\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/aleasoft.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AleaModel\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/aleasoft.com\\\/#website\",\"url\":\"https:\\\/\\\/aleasoft.com\\\/\",\"name\":\"AleaSoft Energy Forecasting\",\"description\":\"Energy Forecasting\",\"publisher\":{\"@id\":\"https:\\\/\\\/aleasoft.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/aleasoft.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"it-IT\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/aleasoft.com\\\/#organization\",\"name\":\"AleaSoft Energy Forecasting\",\"url\":\"https:\\\/\\\/aleasoft.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/aleasoft.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/aleasoft.com\\\/wp-content\\\/uploads\\\/2020\\\/01\\\/logo-alea-25.svg\",\"contentUrl\":\"https:\\\/\\\/aleasoft.com\\\/wp-content\\\/uploads\\\/2020\\\/01\\\/logo-alea-25.svg\",\"width\":7047,\"height\":1416,\"caption\":\"AleaSoft Energy Forecasting\"},\"image\":{\"@id\":\"https:\\\/\\\/aleasoft.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/AleaSoft\\\/\",\"https:\\\/\\\/x.com\\\/AleaSoftEnergy\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/aleasoft\\\/\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"AleaModel - AleaSoft Energy Forecasting","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/aleasoft.com\/it\/aleamodel\/","og_locale":"it_IT","og_type":"article","og_title":"AleaModel","og_description":"AleaModel \u00e8 un tipo di modello di previsione esclusivo di AleaSoft, sviluppato appositamente per la previsione energetica, che supera i metodi di previsione tradizionali. AleaModel sfrutta gli ultimi progressi della statistica e dell&#8217;intelligenza artificiale nel campo delle previsioni. \u00c8 un approccio di modello ibrido che combina la potenza delle reti neurali artificiali e l&#8217;efficienza del [&hellip;]","og_url":"https:\/\/aleasoft.com\/it\/aleamodel\/","og_site_name":"AleaSoft Energy Forecasting","article_publisher":"https:\/\/www.facebook.com\/AleaSoft\/","article_modified_time":"2022-01-18T07:26:39+00:00","og_image":[{"width":911,"height":851,"url":"https:\/\/aleasoft.com\/wp-content\/uploads\/2021\/01\/20210122-AleaSoft-AleaModel-characteristics.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_site":"@AleaSoftEnergy","twitter_misc":{"Tempo di lettura stimato":"2 minuti"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/aleasoft.com\/it\/aleamodel\/","url":"https:\/\/aleasoft.com\/it\/aleamodel\/","name":"AleaModel - AleaSoft Energy Forecasting","isPartOf":{"@id":"https:\/\/aleasoft.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/aleasoft.com\/it\/aleamodel\/#primaryimage"},"image":{"@id":"https:\/\/aleasoft.com\/it\/aleamodel\/#primaryimage"},"thumbnailUrl":"https:\/\/aleasoft.com\/wp-content\/uploads\/2021\/01\/20210122-AleaSoft-AleaModel-characteristics.png","datePublished":"2020-01-17T13:12:56+00:00","dateModified":"2022-01-18T07:26:39+00:00","breadcrumb":{"@id":"https:\/\/aleasoft.com\/it\/aleamodel\/#breadcrumb"},"inLanguage":"it-IT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/aleasoft.com\/it\/aleamodel\/"]}]},{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/aleasoft.com\/it\/aleamodel\/#primaryimage","url":"https:\/\/aleasoft.com\/wp-content\/uploads\/2021\/01\/20210122-AleaSoft-AleaModel-characteristics.png","contentUrl":"https:\/\/aleasoft.com\/wp-content\/uploads\/2021\/01\/20210122-AleaSoft-AleaModel-characteristics.png","width":911,"height":851},{"@type":"BreadcrumbList","@id":"https:\/\/aleasoft.com\/it\/aleamodel\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/aleasoft.com\/"},{"@type":"ListItem","position":2,"name":"AleaModel"}]},{"@type":"WebSite","@id":"https:\/\/aleasoft.com\/#website","url":"https:\/\/aleasoft.com\/","name":"AleaSoft Energy Forecasting","description":"Energy Forecasting","publisher":{"@id":"https:\/\/aleasoft.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/aleasoft.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"it-IT"},{"@type":"Organization","@id":"https:\/\/aleasoft.com\/#organization","name":"AleaSoft Energy Forecasting","url":"https:\/\/aleasoft.com\/","logo":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/aleasoft.com\/#\/schema\/logo\/image\/","url":"https:\/\/aleasoft.com\/wp-content\/uploads\/2020\/01\/logo-alea-25.svg","contentUrl":"https:\/\/aleasoft.com\/wp-content\/uploads\/2020\/01\/logo-alea-25.svg","width":7047,"height":1416,"caption":"AleaSoft Energy Forecasting"},"image":{"@id":"https:\/\/aleasoft.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/AleaSoft\/","https:\/\/x.com\/AleaSoftEnergy","https:\/\/www.linkedin.com\/company\/aleasoft\/"]}]}},"_links":{"self":[{"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/pages\/43830","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/comments?post=43830"}],"version-history":[{"count":0,"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/pages\/43830\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/media\/109021"}],"wp:attachment":[{"href":"https:\/\/aleasoft.com\/it\/wp-json\/wp\/v2\/media?parent=43830"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}