{"id":984,"date":"2026-04-23T16:58:00","date_gmt":"2026-04-23T16:58:00","guid":{"rendered":"https:\/\/www.smreza.com\/profile\/?p=984"},"modified":"2026-06-11T19:29:51","modified_gmt":"2026-06-11T19:29:51","slug":"new-publication-in-ieee-data-descriptions-journal","status":"publish","type":"post","link":"https:\/\/www.smreza.com\/profile\/news\/publications\/new-publication-in-ieee-data-descriptions-journal\/","title":{"rendered":"New Publication in IEEE Data Descriptions Journal"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Dr. Sayed Reza<\/strong> with Dr. Habib Ullah and other collaborators has published a new paper in <strong>IEEE<\/strong>, titled <strong>\u201cDescriptor: Global Electricity Markets Load Forecasting and Planning Dataset (GloElecLoad)\u201d<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Read the paper:<\/strong> https:\/\/ieeexplore.ieee.org\/document\/11489469<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This work introduces <strong>GloElecLoad<\/strong>, a comprehensive dataset designed to support research in <strong>electricity load forecasting, energy planning, and data\u2011driven decision making in global energy markets<\/strong>. The dataset provides structured and standardized data resources to enable researchers to develop and evaluate advanced machine learning and forecasting models across diverse electricity markets.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The publication contributes to the growing need for <strong>high-quality, accessible datasets<\/strong> in energy analytics, particularly as power systems become increasingly complex and data\u2011driven. By providing a global perspective, this work facilitates research on <strong>renewable integration, demand prediction, and intelligent energy systems<\/strong>, supporting both academic research and real-world applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This publication reflects the D3M Lab\u2019s continued focus on <strong>data-centric research, open data resources, and interdisciplinary applications of machine learning<\/strong> in critical domains such as energy, infrastructure, and societal systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dr. Sayed Reza with Dr. Habib Ullah and other collaborators has published a new paper in IEEE, titled \u201cDescriptor: Global Electricity Markets Load Forecasting and Planning Dataset (GloElecLoad)\u201d. Read the paper: https:\/\/ieeexplore.ieee.org\/document\/11489469 This work introduces GloElecLoad, a comprehensive dataset designed to support research in electricity load forecasting, energy planning, and data\u2011driven decision making in global [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":985,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[74,28,37,29,4,12,60],"tags":[35,30,5,46],"class_list":["post-984","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-electricity-market","category-highlights","category-machine-learning","category-news","category-publications","category-p-research","category-thermal-imaging","tag-journal","tag-news","tag-publications","tag-undergraduate-research"],"rttpg_featured_image_url":{"full":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper.png",770,259,false],"landscape":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper.png",770,259,false],"portraits":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper.png",770,259,false],"thumbnail":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper-150x150.png",150,150,true],"medium":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper-300x101.png",300,101,true],"large":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper.png",770,259,false],"1536x1536":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper.png",770,259,false],"2048x2048":["https:\/\/www.smreza.com\/profile\/wp-content\/uploads\/2026\/06\/Global-Electricity-Market-Load-Forecasting-Paper.png",770,259,false]},"rttpg_author":{"display_name":"Sayed Mohsin Reza","author_link":"https:\/\/www.smreza.com\/profile\/author\/smreza\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/www.smreza.com\/profile\/category\/research\/electricity-market\/\" rel=\"category tag\">Electricity Market<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/highlights\/\" rel=\"category tag\">Highlights<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/machine-learning\/\" rel=\"category tag\">Machine Learning<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/news\/\" rel=\"category tag\">News<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/news\/publications\/\" rel=\"category tag\">Publications<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/projects\/p-research\/\" rel=\"category tag\">Research<\/a> <a href=\"https:\/\/www.smreza.com\/profile\/category\/research\/thermal-imaging\/\" rel=\"category tag\">Thermal Imaging<\/a>","rttpg_excerpt":"Dr. Sayed Reza with Dr. Habib Ullah and other collaborators has published a new paper in IEEE, titled \u201cDescriptor: Global Electricity Markets Load Forecasting and Planning Dataset (GloElecLoad)\u201d. Read the paper: https:\/\/ieeexplore.ieee.org\/document\/11489469 This work introduces GloElecLoad, a comprehensive dataset designed to support research in electricity load forecasting, energy planning, and data\u2011driven decision making in global&hellip;","_links":{"self":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/984","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/comments?post=984"}],"version-history":[{"count":4,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/984\/revisions"}],"predecessor-version":[{"id":989,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/posts\/984\/revisions\/989"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/media\/985"}],"wp:attachment":[{"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/media?parent=984"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/categories?post=984"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.smreza.com\/profile\/wp-json\/wp\/v2\/tags?post=984"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}