{"product_id":"9783032443526","title":"Energy Informatics Second Nordic Energy Informatics Conference, EIA Nordic 2026, Reykjavik, Iceland, September 2–4, 2026, Revised Selected Papers, Part I","description":"\u003ch3\u003eLecture Notes in Computer Science\u003c\/h3\u003e\u003ch1\u003eEnergy Informatics\u003c\/h1\u003e\u003ch2\u003eSecond Nordic Energy Informatics Conference, EIA Nordic 2026, Reykjavik, Iceland, September 2–4, 2026, Revised Selected Papers, Part I\u003c\/h2\u003e\u003ch3\u003eRúnar Unnþórsson | Bo Nørregaard Jørgensen | Zheng Grace Ma | Chiara Bordin | Kristina Lygnerud\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Business \u0026amp; Productivity Software \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eThe two volume set LNCS 16931 + 16932 constitutes the proceedings of the Second Nordic Energy Informatics Academy Conference, Nordic EIA 2026, which took place in Reykjavik, Iceland, during September 2026. \u003c\/p\u003e\r\n\u003cp\u003eThe 43 full papers and 14 short papers presented in the proceedings were carefully reviewed and selected from 106 submissions. They were organised in the following topical sections: \u003c\/p\u003e\r\n\u003cp\u003ePart I : \u003cspan lang=\"EN-GB\" style=\"font-size: 12.0pt; line-height: 116%; font-family: 'Aptos',sans-serif; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-GB; mso-fareast-language: JA; mso-bidi-language: AR-SA;\"\u003eReinforcement Learning and Real-Time Optimization for Grid Control; Explainable, Agentic and LLM-Based AI for Energy Systems; Optimization of Microgrids, Energy Communities and Market Participation; Smart Metering Analytics and Load Disaggregation; District Heating Digitalization: Simulation, Monitoring and Fault Detection.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003ePart II :\u003cstrong\u003e \u003c\/strong\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 12.0pt; line-height: 116%; font-family: 'Aptos',sans-serif; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-GB; mso-fareast-language: JA; mso-bidi-language: AR-SA;\"\u003eModeling and AI for Renewable Generation, Conversion and Harvesting; Building Energy Informatics, Digital Twins and Operational Analytics; Data-Driven Electric Mobility and Charging Infrastructure; Sustainable AI, Data-Driven Methods and Energy Informatics Frameworks; Forecasting and Predictive Analytics for Energy Demand and Prices.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e24 January 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032443526\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e480\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":62308292755596,"sku":"9783032443526","price":89.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9783032443526","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}