{"id":23214,"date":"2026-07-03T13:39:05","date_gmt":"2026-07-03T10:39:05","guid":{"rendered":"https:\/\/grnet.gr\/?p=23214"},"modified":"2026-07-03T13:39:06","modified_gmt":"2026-07-03T10:39:06","slug":"pharos-ai-factory-training-series-course-10-time-series-forecasting-and-renewable-energy-on-july-10th-2026","status":"publish","type":"post","link":"https:\/\/grnet.gr\/en\/2026\/07\/03\/pharos-ai-factory-training-series-course-10-time-series-forecasting-and-renewable-energy-on-july-10th-2026\/","title":{"rendered":"PHAROS AI Factory Training Series &#8211; Course 10 &#8220;Time-Series Forecasting and Renewable Energy&#8221;, on July 10th, 2026"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>PHAROS AI Factory<\/strong>&nbsp;announces the&nbsp;<strong>10th Course<\/strong>&nbsp;of its&nbsp;<strong>Training Series<\/strong>,&nbsp;<strong>Topic ML<\/strong>: &#8220;<strong>Time-Series Forecasting and Renewable Energy<\/strong>&#8220;, held online via Zoom on July 10th, 2026.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Presentation language<\/strong>: Greek<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Audience<\/strong>: ML Engineers, AI Engineers, Data Scientists, Academic Researchers<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Location<\/strong>: Online via Zoom (you will get the zoom link upon registration)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Learning Objectives<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Develop and evaluate Machine Learning models for day-ahead solar energy production forecasting.\u00a0<\/li>\n\n\n\n<li>Interpret forecasting results using appropriate performance metrics and validation techniques.\u00a0<\/li>\n\n\n\n<li>Understand the role of accurate renewable energy forecasting in electricity markets and energy system operations.\u00a0<\/li>\n\n\n\n<li>Describe how renewable energy aggregators use forecasting to support market participation and grid stability.\u00a0<\/li>\n\n\n\n<li>Recognize the importance of effective data visualization and user interfaces for communicating forecasting results.\u00a0<\/li>\n\n\n\n<li>Apply best practices for designing end-to-end forecasting pipelines, from data collection to model deployment.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The course\u2019s agenda can be found&nbsp;<a href=\"https:\/\/events.grnet.gr\/event\/215\/timetable\/\">here<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Register to attend by filling out the form&nbsp;<\/strong><a href=\"https:\/\/events.grnet.gr\/event\/215\/registrations\/153\/\"><strong>here<\/strong><\/a><strong>.&nbsp;<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>PHAROS AI Factory&nbsp;announces the&nbsp;10th Course&nbsp;of its&nbsp;Training Series,&nbsp;Topic ML: &#8220;Time-Series Forecasting and Renewable Energy&#8220;, held online via Zoom on July 10th, 2026.&nbsp; Presentation language: Greek Audience: ML Engineers, AI Engineers, Data Scientists, Academic Researchers Location: Online via Zoom (you will get the zoom link upon registration) Learning Objectives: The course\u2019s agenda can be found&nbsp;here. Register to [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":23215,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[294,355,490],"tags":[],"class_list":["post-23214","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-en","category-news-en","category-news_en-en"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23214","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/comments?post=23214"}],"version-history":[{"count":1,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23214\/revisions"}],"predecessor-version":[{"id":23217,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23214\/revisions\/23217"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media\/23215"}],"wp:attachment":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media?parent=23214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/categories?post=23214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/tags?post=23214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}