{"id":344,"date":"2026-03-18T09:41:15","date_gmt":"2026-03-18T09:41:15","guid":{"rendered":"https:\/\/nia.ucd.ie\/?p=344"},"modified":"2026-03-18T09:43:54","modified_gmt":"2026-03-18T09:43:54","slug":"nias-abdul-wadud-secured-2nd-place-in-the-enfield-hackathon-2025-for-most-accurate-prediction-in-building-energy-consumption-forecasting","status":"publish","type":"post","link":"https:\/\/nia.ucd.ie\/?p=344","title":{"rendered":"NIA&#8217;s Abdul Wadud secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting!"},"content":{"rendered":"\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-6c531013 wp-block-group-is-layout-flex\">\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5622AQFFXzvtDuQKwA\/feedshare-shrink_800\/B56ZdfmMCHHEAk-\/0\/1749655539498?e=1775692800&amp;v=beta&amp;t=hMKy8p3YM1C8xEDMLvSxaE21cfnK5OfEb00Wy9Stmjs\" alt=\"No alternative text description for this image\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image is-resized\"><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5622AQH5fntCen_FEQ\/feedshare-shrink_800\/B56ZdfmMDSHUAg-\/0\/1749655537681?e=1775692800&amp;v=beta&amp;t=pT6anH3SprOVyjspaq9b9wfj8OgAAwxzcJDKhxi9re4\" alt=\"No alternative text description for this image\" style=\"aspect-ratio:1.3289381472733408;width:800px;height:auto\"\/><\/figure>\n\n\n\n<p>\u00a0<\/p>\n<\/div>\n\n\n\n<p>Proud Moment for Team GenE!\u00a0\u26a1<br>Thrilled to share that our team,\u00a0GenE (Next Generation Energy Warriors),\u00a0secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting!<br>\ud83d\udd0d Using advanced\u00a0XGBoost regression models, robust feature engineering, and well-crafted preprocessing pipelines, we achieved a\u00a0MAPE of just 6.79%, placing us among the top three most accurate solutions!<br>\ud83c\udfe2 The competition challenged us to forecast energy consumption for buildings using only 2 months of data \u2014 a real-world scenario that demanded efficiency, scalability, and creativity.<br>\ud83d\udcc2 You can check out our full solution and code on GitHub here:<br>\ud83d\udd17 <a href=\"https:\/\/lnkd.in\/ggbWy6wr\">https:\/\/lnkd.in\/ggbWy6wr<\/a><br>\ud83d\ude4f A huge\u00a0thank you to the ENFIELD team and organizers\u00a0for hosting such an impactful and well-run event! The experience has been both inspiring and educational.<br><br>\ud83d\udc68\u200d\ud83d\udcbb Team GenE:<br>Abdul Wadud (PhD Student, UCD) \u2013 Team Lead<br><a href=\"https:\/\/www.linkedin.com\/in\/sourodip-ghoshdastidar-0594428a\/\">Sourodip Ghoshdastidar<\/a> (PhD Student, UCD)<br>BIBI Kulsum Konica (BA in Business, HID)<br><br><a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23energyforecasting&amp;origin=HASH_TAG_FROM_FEED\">hashtag#EnergyForecasting<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23hackathon2025&amp;origin=HASH_TAG_FROM_FEED\">hashtag#Hackathon2025<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23xgboost&amp;origin=HASH_TAG_FROM_FEED\">hashtag#XGBoost<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23enfield&amp;origin=HASH_TAG_FROM_FEED\">hashtag#ENFIELD<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23machinelearning&amp;origin=HASH_TAG_FROM_FEED\">hashtag#MachineLearning<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23sustainability&amp;origin=HASH_TAG_FROM_FEED\">hashtag#Sustainability<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23teamgene&amp;origin=HASH_TAG_FROM_FEED\">hashtag#TeamGenE<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23phdlife&amp;origin=HASH_TAG_FROM_FEED\">hashtag#PhDLife<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23python&amp;origin=HASH_TAG_FROM_FEED\">hashtag#Python<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23github&amp;origin=HASH_TAG_FROM_FEED\">hashtag#GitHub<\/a> <a href=\"https:\/\/www.linkedin.com\/search\/results\/all\/?keywords=%23smartbuildings&amp;origin=HASH_TAG_FROM_FEED\">hashtag#SmartBuildings<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0 Proud Moment for Team GenE!\u00a0\u26a1Thrilled to share that our team,\u00a0GenE (Next Generation Energy Warriors),\u00a0secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting!\ud83d\udd0d Using advanced\u00a0XGBoost regression models, robust feature engineering, and well-crafted preprocessing pipelines, we achieved a\u00a0MAPE of just 6.79%, placing us among the top three most accurate solutions!\ud83c\udfe2 The competition challenged [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18],"tags":[],"class_list":["post-344","post","type-post","status-publish","format-standard","hentry","category-events"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NIA&#039;s Abdul Wadud secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting! - Network Inteligence and Automation Lab<\/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:\/\/nia.ucd.ie\/?p=344\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NIA&#039;s Abdul Wadud secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting! - Network Inteligence and Automation Lab\" \/>\n<meta property=\"og:description\" content=\"\u00a0 Proud Moment for Team GenE!\u00a0\u26a1Thrilled to share that our team,\u00a0GenE (Next Generation Energy Warriors),\u00a0secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting!\ud83d\udd0d Using advanced\u00a0XGBoost regression models, robust feature engineering, and well-crafted preprocessing pipelines, we achieved a\u00a0MAPE of just 6.79%, placing us among the top three most accurate solutions!\ud83c\udfe2 The competition challenged [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nia.ucd.ie\/?p=344\" \/>\n<meta property=\"og:site_name\" content=\"Network Inteligence and Automation Lab\" \/>\n<meta property=\"article:published_time\" content=\"2026-03-18T09:41:15+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-18T09:43:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5622AQFFXzvtDuQKwA\/feedshare-shrink_800\/B56ZdfmMCHHEAk-\/0\/1749655539498?e=1775692800&amp;v=beta&amp;t=hMKy8p3YM1C8xEDMLvSxaE21cfnK5OfEb00Wy9Stmjs\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/nia.ucd.ie\\\/?p=344#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/nia.ucd.ie\\\/?p=344\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\\\/\\\/nia.ucd.ie\\\/#\\\/schema\\\/person\\\/bee7c72791f3f92596dc486318740e79\"},\"headline\":\"NIA&#8217;s Abdul Wadud secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting!\",\"datePublished\":\"2026-03-18T09:41:15+00:00\",\"dateModified\":\"2026-03-18T09:43:54+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/nia.ucd.ie\\\/?p=344\"},\"wordCount\":188,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/nia.ucd.ie\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/nia.ucd.ie\\\/?p=344#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/media.licdn.com\\\/dms\\\/image\\\/v2\\\/D5622AQFFXzvtDuQKwA\\\/feedshare-shrink_800\\\/B56ZdfmMCHHEAk-\\\/0\\\/1749655539498?e=1775692800&amp;v=beta&amp;t=hMKy8p3YM1C8xEDMLvSxaE21cfnK5OfEb00Wy9Stmjs\",\"articleSection\":[\"Events\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/nia.ucd.ie\\\/?p=344#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/nia.ucd.ie\\\/?p=344\",\"url\":\"https:\\\/\\\/nia.ucd.ie\\\/?p=344\",\"name\":\"NIA's Abdul Wadud secured\u00a02nd place in the\u00a0ENFIELD Hackathon 2025\u00a0for\u00a0Most Accurate Prediction\u00a0in building energy consumption forecasting! 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