{"product_id":"ai-and-digitalization-in-energy-management-energy-engineering","title":"AI and Digitalization in Energy Management (Energy Engineering)","description":"\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"7y9w7h-rgk3d4-2xixgp-6jetc1\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"0993745598\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" aria-expanded=\"false\"\u003e\n\u003cdiv id=\"bookDescription_feature_div\" class=\"celwidget\" data-feature-name=\"bookDescription\" data-csa-c-type=\"widget\" data-csa-c-content-id=\"bookDescription\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-asin=\"9819961939\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-id=\"ta5yoj-8ioql3-heksr8-7lupo6\" data-cel-widget=\"bookDescription_feature_div\"\u003e\n\u003cdiv data-a-expander-name=\"book_description_expander\" data-a-expander-collapsed-height=\"280\" class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\"\u003e\n\u003cdiv data-expanded=\"false\" class=\"a-expander-content a-expander-partial-collapse-content\"\u003e\n\u003cdiv data-cel-widget=\"bookDescription_feature_div\" data-csa-c-id=\"uabt8b-pqh18f-fjx0tp-chru34\" data-csa-c-is-in-initial-active-row=\"false\" data-csa-c-asin=\"1305110595\" data-csa-c-slot-id=\"bookDescription_feature_div\" data-csa-c-content-id=\"bookDescription\" data-csa-c-type=\"widget\" data-feature-name=\"bookDescription\" class=\"celwidget\" id=\"bookDescription_feature_div\"\u003e\n\u003cdiv class=\"a-expander-collapsed-height a-row a-expander-container a-spacing-base a-expander-partial-collapse-container\" data-a-expander-collapsed-height=\"280\" data-a-expander-name=\"book_description_expander\"\u003e\n\u003cdiv class=\"a-expander-content a-expander-partial-collapse-content\" data-expanded=\"false\"\u003e\n\u003cp\u003e\u003cspan\u003eEnergy management involves the planning and operation of energy production, consumption, distribution and storage, with objectives including resource conservation, climate protection and cost savings. Growth in renewable energy - essential for the transition to a decarbonised energy system - adds the challenge of intermittency, making energy management all the more important.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThis book explores the role of digitalization and the growing interest in using AI for energy management. Edited by a team of senior scientists, with ample project and industry experience, the book systematically covers methods, applications including forecasting and maintenance, and economic aspects.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe chapters cover solar and meteorological data collection and simulation, digital twins and data wrangling, ML, game theory and AI for energy management, edge to cloud, federated learning and quantum computing for energy management, intra-hour solar forecasting, use of synchrophasor technology, AI-powered energy conversion and resilience, explainable AI, electric mobility integration, optimization for EV adoption, predictive PV maintenance, AI and robotics for PV inspection, and blockchain-based microgrids.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan class=\"a-text-italic\"\u003eAI and Digitalization in Energy Management\u003c\/span\u003e\u003cspan\u003e will prove a useful resource for researchers in universities, research institutes and in industry involved with clean energy and AI systems, grid operators, as well as energy policy makers and advanced students in energy engineering.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eChapters\u003cbr\u003eFront Matter\u003cbr\u003ep. i–xix (20)\u003cbr\u003eFirst Page\u003c\/p\u003e\n\u003cp\u003eIntroduction\u003cbr\u003eAntonio Sanfilippo, Sertac Bayhan, Dragan Boscovic\u003cbr\u003ep. 1–8 (8)\u003cbr\u003eAbstract\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eSensor-based collection of solar and meteorological data\u003cbr\u003eDunia Bachour, Daniel Perez-Astudillo\u003cbr\u003ep. 11–26 (16)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eSynthetic data generation through power hardware-in-the-loop (PHIL) simulations\u003cbr\u003eAbdelbasset Krama, Anas Karaki, Ugur Fesli, Sertac Bayhan, Haitham Abu-Rub, Mohd Zamri Che Wanik\u003cbr\u003ep. 27–48 (22)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eData generation through digital twins\u003cbr\u003eDragan Boscovic, Antonio Sanfilippo, Sertac Bayhan\u003cbr\u003ep. 49–68 (20)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eData wrangling\u003cbr\u003eDaniel Perez-Astudillo, Dunia Bachour\u003cbr\u003ep. 69–76 (8)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eMachine learning\u003cbr\u003eJoseph Cazier, Dragan Boscovic\u003cbr\u003ep. 77–94 (18)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eGame theory and AI for strategic energy management\u003cbr\u003eAnas Karaki, Khaled Abedrabboh, Luluwah Al-Fagih\u003cbr\u003ep. 95–118 (24)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eEdge to cloud\u003cbr\u003eMilenko Tosic, Fábio Coelho, Luis Ferreira, David Rua, Dragan Boscovic\u003cbr\u003ep. 119–142 (24)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eAI in energy management: the market view\u003cbr\u003eSa'd Shannak, Deeb Alashgar, Abdalrahman Migdad\u003cbr\u003ep. 143–164 (22)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eFederated learning for energy management applications\u003cbr\u003eRami Hamdi, Marwa Qaraqe\u003cbr\u003ep. 165–187 (23)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eQuantum computing for energy management: a semi-non-technical guide for practitioners\u003cbr\u003eJirawat Tangpanitanon\u003cbr\u003ep. 189–213 (25)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eMapping all-sky images to GHI measurements for intra-hour solar forecasting\u003cbr\u003eNassma Mohandes, Daniel Perez-Astudillo, Dunia Bachour, Antonio Sanfilippo\u003cbr\u003ep. 217–230 (14)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eReal-time measurement of electrical signal in medium-voltage distribution network using synchrophasor technology\u003cbr\u003eMohd Zamri Che Wanik, Abdullah Abdul Jabbar, Mohamed Gad, Antonio Sanfilippo\u003cbr\u003ep. 231–258 (28)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eAI-powered power conversion\u003cbr\u003eAli Sharida, Naheel Kamal, Ugur Fesli, Sertac Bayhan, Haitham Abu-Rub\u003cbr\u003ep. 259–299 (41)\u003cbr\u003eFull text\u003cbr\u003ePDF\u003cbr\u003eDescription\u003cbr\u003eEmpowering resilience: AI and the future of microgrids\u003cbr\u003eAli Sharida, Anas Karaki, Sertac Bayhan, Ugur Fesli, Haitham Abu-Rub\u003cbr\u003ep. 301–328 (28)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eBuilding trust by design through explainable AI for resilient and cognitive smart grids\u003cbr\u003eMohamed Massaoudi, Haitham Abu-Rub, Ali Ghrayeb\u003cbr\u003ep. 329–355 (27)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eElectric mobility integration: a deep dive into AI solutions\u003cbr\u003eAli Sharida, Anas Karaki, Sertac Bayhan, Haitham Abu-Rub\u003cbr\u003ep. 357–370 (14)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eOptimization problems related to electric vehicle adoption\u003cbr\u003eRaka Jovanovic, Sertac Bayhan\u003cbr\u003ep. 371–390 (20)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003ePredictive photovoltaic maintenance strategies\u003cbr\u003eAntonio Sanfilippo, Dhanup Pillai, Juan Lopez Garcia, Veronica Bermudez Benito\u003cbr\u003ep. 391–405 (15)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eAI and robotic techniques for PV inspection\u003cbr\u003eEduardo Feo Flushing, Gianni A. Di Caro\u003cbr\u003ep. 407–432 (26)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eToward a blockchain-based smart microgrid: a peer-to-peer renewable energy trading framework\u003cbr\u003eAmeni Boumaiza, Antonio Sanfilippo, Dragan Boscovic\u003cbr\u003ep. 433–449 (17)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eConclusions\u003cbr\u003eAntonio Sanfilippo, Sertac Bayhan, Dragan Boscovic\u003cbr\u003ep. 451–454 (4)\u003c\/p\u003e\n\u003cp\u003eDescription\u003cbr\u003eBack Matter\u003cbr\u003ep. 455–470 (17)\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tableofcontents-section\" id=\"tableofcontents-section\"\u003e\n\u003cdiv class=\"page-section\"\u003e\n\u003cdiv class=\"section-content collapsed\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cb\u003eBOOKREAD™ 5-STEP SATISFACTION GUARANTEE\u003c\/b\u003e\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003e1. No Risk, 30-Day Money-Back Guarantee. \u003cbr\u003e2. instant download. No surprises or hidden fees.\u003cbr\u003e3. Safe Payments via Credit\/Debit Card or PayPal® \u003cbr\u003e4. McAfee™ and SSL secured shopping cart.\u003cbr\u003e5. lifetime customer support.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"My Store","offers":[{"title":"PDF","offer_id":56972613845323,"sku":null,"price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1031\/1204\/8971\/files\/71eYKhLbCTL._SL1360.jpg?v=1775560534","url":"https:\/\/bookread.io\/products\/ai-and-digitalization-in-energy-management-energy-engineering","provider":"bookread","version":"1.0","type":"link"}