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Enhancing the resilience of urban energy systems: The role of artificial intelligence
16 references·0 citing·56 second hopsampled
Enhancing the resilience of urban energy systems: The role of artificial intelligence (2025)Enhancing the resilience of urban energy …How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology (2024)How does artificial intellige…Can green finance strengthen energy resilience? The case of China (2024)Can green finance strengthen …Artificial intelligence, green technological progress, energy conservation, and carbon emission reduction in China: An examination based on dynamic spatial Durbin modeling (2024)Artificial intelligence, gree…The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China (2023)The impact of artificial inte…Policy incentives, government subsidies, and technological innovation in new energy vehicle enterprises: Evidence from China (2023)Policy incentives, government…Can enterprise green technology innovation performance achieve “corner overtaking” by using artificial intelligence?—Evidence from Chinese manufacturing enterprises (2023)Can enterprise green technolo…An assessment model for urban resilience based on the pressure-state-response framework and BP-GA neural network (2023)An assessment model for urban…What factors contribute to the acceptance of artificial intelligence? 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References

  • 2018Robots at Work2,091 cited
  • 2022What factors contribute to the acceptance of artificial intelligence? A systematic review1,187 cited
  • 2020Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors701 cited
  • 2022How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan547 cited
  • 2021Artificial intelligence, systemic risks, and sustainability533 cited
  • 2023Can enterprise green technology innovation performance achieve “corner overtaking” by using artificial intelligence?—Evidence from Chinese manufacturing enterprises255 cited
  • 2024How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology223 cited
  • 2023Policy incentives, government subsidies, and technological innovation in new energy vehicle enterprises: Evidence from China222 cited
  • 2023The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China185 cited
  • 2021Assessing energy resilience and its greenhouse effect: A global perspective181 cited
  • 2019Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis172 cited
  • 2024Artificial intelligence, green technological progress, energy conservation, and carbon emission reduction in China: An examination based on dynamic spatial Durbin modeling134 cited
  • 2023

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An assessment model for urban resilience based on the pressure-state-response framework and BP-GA neural network
121 cited
  • 1999Information Technology and the Productivity Paradox: Assessing the Value of Investing in IT119 cited
  • 2022Can artificial intelligence improve green economic growth? Evidence from China119 cited
  • 2024Can green finance strengthen energy resilience? The case of China105 cited
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