{"product_id":"pre-order-approx-7-14-business-days-print-on-demand-renewable-energy-transition-with-artificial-intelligence-by-nina-dethlefs-9781394300037-zz-475e5","title":"*PRE-ORDER, APPROX 7-14 BUSINESS DAYS, print-on-demand* Renewable Energy Transition with Artificial Intelligence by Nina Dethlefs 9781394300037 [ZZ]","description":"\u003ch2 class=\"title\"\u003eChallenge-driven Solutions. Hardcover, Wiley\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eExplores harnessing AI to overcome strategic and operational challenges in renewable energy transition\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe urgent need to decarbonize global energy systems has propelled renewable energy into a position of unprecedented importance, yet this shift presents major technical, economic, and policy challenges. Increasing reliance on intermittent energy sources such as solar and wind demands more effective forecasting, grid coordination, and flexibility. Artificial Intelligence (AI) offers powerful tools to meet these challenges by learning from data, modeling complex interactions, and enabling real-time optimization across generation, transmission, and consumption.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eRenewable Energy Transition with Artificial Intelligence: Challenge-driven Solutions\u003c\/em\u003e highlights successful pathways of knowledge transfer between academia and industry through case studies drawn from wind, solar, and emerging energy sources. Focusing on challenge-driven problem solving, the authors showcase transferable strategies that overcome pressing obstacles such as the lack of open datasets, the reluctance to adopt opaque predictive models, and insufficient performance benchmarks.\u003c\/p\u003e\n\u003cp\u003eContributions by leading experts emphasize explainable AI, collaborative innovation, and the vital role of shared infrastructures for data and knowledge exchange. The book also draws from the authors’ international workshop with diverse stakeholders, underscoring the importance of cross-sector cooperation in ensuring sustainable and scalable impact.\u003c\/p\u003e\n\u003cp\u003eAdopting a challenge-driven framework linking AI innovation with renewable energy adoption, this title:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntegrates perspectives from academia, industry, and the public sector to identify scalable solutions\u003c\/li\u003e\n\u003cli\u003eDemonstrates methods for bridging the “black box” problem in neural network–based energy forecasting\u003c\/li\u003e\n\u003cli\u003eAddresses data scarcity by proposing solutions for open access, standardization, and benchmarking in renewables AI\u003c\/li\u003e\n\u003cli\u003eProvides practical insights for distributed generation, storage, and demand-response management\u003c\/li\u003e\n\u003cli\u003eExplores future directions for explainable AI in energy system integration and resilience\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eBoth a roadmap and a reference point for integrating AI into renewable systems to accelerate global decarbonization, this book is designed for advanced students, researchers, and practitioners in engineering, computer science, and renewable energy. It is suitable for courses such as Renewable Energy Systems, Artificial Intelligence Applications in Engineering, and Energy Policy and Technology within graduate and postgraduate degree programs in engineering, data science, and environmental studies.\u003c\/p\u003e","brand":"Scorpio Bookstore","offers":[{"title":"New","offer_id":43551633080379,"sku":"XDTDAJ-6330","price":214.95,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0369\/1895\/1995\/files\/17798936660350ELLNFYJXTZL00C8ID94.jpg?v=1779893705","url":"https:\/\/www.scorpiobookstore.com\/products\/pre-order-approx-7-14-business-days-print-on-demand-renewable-energy-transition-with-artificial-intelligence-by-nina-dethlefs-9781394300037-zz-475e5","provider":"Scorpio Bookstore","version":"1.0","type":"link"}