Editorial: AI-Driven zero carbon cyber-energy system

Li, Yushuai and Zhang, Jianhua and Fan, Rui and Huang, Bonan (2023) Editorial: AI-Driven zero carbon cyber-energy system. Frontiers in Energy Research, 11. ISSN 2296-598X

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Abstract

The increasing pressure from the energy crisis and environment pollution has led to the urgency of energy structure and technology upgrades. As a future energy development trend, Cyber-Energy System (CES) focuses on deeply integrating multiple types of energy resources (including electricity power, heat, cooling, and gas, etc.) and advanced communication technology to improve the energy utilization efficiency, reduce the costs and emissions, and increase the proportion of renewable energy resources. Since AI technology is both suitable for solving model-driven and data-driven research problems, it fits well with the features of CES such as diversified information date and interdependent infrastructures. By reasonably utilizing AI and multi-energy conversion technology, it is entirely possible for CES to achieve low (even zero) operation in the processes of energy generation, conversion, transmission, distribution, and consumption. Meanwhile, zero carbon in CES requires innovation in many aspects, including policy, markets, modeling, planning, control, and operation, which brings many new challenges.

Item Type: Article
Subjects: East India Archive > Energy
Depositing User: Unnamed user with email support@eastindiaarchive.com
Date Deposited: 26 Apr 2023 07:00
Last Modified: 03 Oct 2024 04:27
URI: http://ebooks.keeplibrary.com/id/eprint/963

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