Digital Intelligence for Energy Systems
Innovation, Integration and Sustainability
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Beschreibung
This proceedings book contains select chapters on the integration of digital intelligence across the entire energy value chain, encompassing generation, transmission, distribution and end-use. Chapters are presented at the Second International Conference on Digital Intelligence for Energy Systems held at Innovation Campus, University of Wollongong, Australia, from 7 to 9 October 2026. Emphasizing sustainable applications, the book directly addresses topics related to SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), SDG 12 (Responsible Consumption and Production), SDG 13 (Climate Action) and SDG 17 (Partnerships for the Goals). Particular emphasis is placed on interdisciplinary approaches to the complex challenges of modern energy systems, including renewable integration, demand flexibility, smart grid operation and consumer engagement.
Through a combination of theoretical studies, methodological developments and real-world case analyses, the book highlights the potential of digital intelligence to enhance efficiency, resilience and sustainability. Chapters showcase state-of-the-art research and practical applications that demonstrate how digital tools, such as advanced modelling, artificial intelligence, big data analytics and smart sensing, can transform energy system operation and planning. It also provides insights into policy, regulatory and market implications, underscoring the multidimensional nature of digital intelligence in energy transitions. The conference provided a global platform for academics, researchers, industry practitioners, government representatives and leaders of professional societies to present and discuss advances at the intersection of digital technologies and energy systems.
This proceedings book contains select chapters on the integration of digital intelligence across the entire energy value chain, encompassing generation, transmission, distribution and end-use. Chapters are presented at the Second International Conference on Digital Intelligence for Energy Systems held at Innovation Campus, University of Wollongong, Australia, from 7 to 9 October 2026. Emphasizing sustainable applications, the book directly addresses topics related to SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), SDG 12 (Responsible Consumption and Production), SDG 13 (Climate Action) and SDG 17 (Partnerships for the Goals). Particular emphasis is placed on interdisciplinary approaches to the complex challenges of modern energy systems, including renewable integration, demand flexibility, smart grid operation and consumer engagement.
Through a combination of theoretical studies, methodological developments and real-world case analyses, the book highlights the potential of digital intelligence to enhance efficiency, resilience and sustainability. Chapters showcase state-of-the-art research and practical applications that demonstrate how digital tools, such as advanced modelling, artificial intelligence, big data analytics and smart sensing, can transform energy system operation and planning. It also provides insights into policy, regulatory and market implications, underscoring the multidimensional nature of digital intelligence in energy transitions. The conference provided a global platform for academics, researchers, industry practitioners, government representatives and leaders of professional societies to present and discuss advances at the intersection of digital technologies and energy systems.
Showcases cutting-edge digital intelligence across the full energy value chain—from generation to end-use Explores how engineering, computer science, and data analytics drive sustainable, resilient energy system innovation Covers smart grids, renewables, storage, and flexibility, with focus on digital technology driving energy transformation
Autor*in
Zhenjun Ma
Themen in »Digital Intelligence for Energy Systems«
digital intelligence smart energy systems artificial intelligence sustainable development goals data-driven modelling SDG7 SDG9 SDG12 SDG13 SDG17