Smart Grids for Low-Carbon Cities: Smart Grid Applications and Energy Optimization Strategies
Shuo Hao,
Lei Wang and
Maju Wang ()
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Shuo Hao: Tianjin University of Finance and Economics, Business School
Lei Wang: MSc International Master in Management (IMM), Audencia Business School
Maju Wang: New College, University of Toronto
A chapter in Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025), 2025, pp 66-77 from Springer
Abstract:
Abstract With the acceleration of the global urbanization process, urban energy consumption has risen sharply, and the transition to low-carbon cities has become an urgent need to mitigate global warming. However, this transformation is not a smooth road, especially since the profound change of energy structure faces many practical challenges. Traditional centralized distribution systems have not been designed with the need for access to renewable energy fully in mind at the beginning, so they are not able to achieve seamless integration of renewable energy. In view of this, this study relies on the rich energy data in the World Bank database, combined with typical smart grid cases, in-depth analysis of the unique advantages of smart grid in optimizing urban energy distribution patterns. Based on the review of previous research results, this study further refines the conceptual framework of smart grid, comprehensively examines its role in improving energy flexibility, deeply discusses the core role of smart grid in the process of urban energy integration, and puts forward targeted policy recommendations for promoting sustainable low-carbon urbanization.
Keywords: Low-carbon City; Smart Grid; Energy Efficiency Optimization; Baseline Regression Model; Random Forest Model (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-748-9_9
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DOI: 10.2991/978-94-6463-748-9_9
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