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The emergence and evolution of Artificial General Intelligence (AGI) has the potential to revolutionize various facets of human existence and one of the domains where its impact could be most transformative is the advancement of renewable energy in urban environments. As cities continue to grow and face escalating challenges related to energy consumption, environmental sustainability, and the well-being of their inhabitants, the use of AGI technologies offers a dynamic landscape of possibilities to synergize with Sustainable Development Goal 11 (SDG 11)—“Sustainable Cities and Communities.” It dives into the potential synergies, challenges, and opportunities presented by AGI in reshaping urban renewable energy systems to align with the objectives of SDG 11. Renewable energy sources have gained prominence as essential components of sustainable urban development. SDG 11 calls for the creation of cities that are inclusive, resilient, and environmentally friendly. However, the deployment and management of renewable energy technologies in urban environments entail intricate challenges, ranging from the intermittency of energy sources to complex demand patterns. The integration of AGI could substantially enhance the efficacy of renewable energy systems by enabling predictive analytics, real-time optimization, and adaptive energy management. AGI-powered predictive models can anticipate energy demand fluctuations, weather conditions, and grid dynamics, facilitating proactive energy production and distribution strategies that mitigate wastage and enhance reliability. However, the incorporation of AGI and renewable energy systems in urban environments is not without challenges. Ethical concerns, data privacy issues, and algorithmic biases must be carefully navigated to ensure equitable access to energy benefits. Also, the technical complexity of AGI deployment demands interdisciplinary collaborations between AI researchers, urban planners, energy experts, and policymakers. This chapter explores the potential of Artificial General Intelligence (AGI) in revolutionizing renewable energy adoption within the context of Sustainable Development Goal 11 (SDG 11), which emphasizes sustainable cities and communities. The chapter sees how AGI-powered solutions can enhance energy efficiency, promote clean energy sources, and contribute to the development of smart, sustainable urban environments.

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Dynamic Landscape of Artificial General Intelligence (AGI) for Advancing Renewable Energy in Urban Environments: Synergies with SDG 11—Sustainable Cities and Communities Lensing Policy and Governance

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  • 发表日期：

    2025年

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  • Bhupinder Singh,
  • Christian Kaunert

摘要

The emergence and evolution of Artificial General Intelligence (AGI) has the potential to revolutionize various facets of human existence and one of the domains where its impact could be most transformative is the advancement of renewable energy in urban environments. As cities continue to grow and face escalating challenges related to energy consumption, environmental sustainability, and the well-being of their inhabitants, the use of AGI technologies offers a dynamic landscape of possibilities to synergize with Sustainable Development Goal 11 (SDG 11)—“Sustainable Cities and Communities.” It dives into the potential synergies, challenges, and opportunities presented by AGI in reshaping urban renewable energy systems to align with the objectives of SDG 11. Renewable energy sources have gained prominence as essential components of sustainable urban development. SDG 11 calls for the creation of cities that are inclusive, resilient, and environmentally friendly. However, the deployment and management of renewable energy technologies in urban environments entail intricate challenges, ranging from the intermittency of energy sources to complex demand patterns. The integration of AGI could substantially enhance the efficacy of renewable energy systems by enabling predictive analytics, real-time optimization, and adaptive energy management. AGI-powered predictive models can anticipate energy demand fluctuations, weather conditions, and grid dynamics, facilitating proactive energy production and distribution strategies that mitigate wastage and enhance reliability. However, the incorporation of AGI and renewable energy systems in urban environments is not without challenges. Ethical concerns, data privacy issues, and algorithmic biases must be carefully navigated to ensure equitable access to energy benefits. Also, the technical complexity of AGI deployment demands interdisciplinary collaborations between AI researchers, urban planners, energy experts, and policymakers. This chapter explores the potential of Artificial General Intelligence (AGI) in revolutionizing renewable energy adoption within the context of Sustainable Development Goal 11 (SDG 11), which emphasizes sustainable cities and communities. The chapter sees how AGI-powered solutions can enhance energy efficiency, promote clean energy sources, and contribute to the development of smart, sustainable urban environments.