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A Study on the Energy Platform to Reduce Carbon Emissions

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(2), pp.43-50
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : February 28, 2024
  • Accepted : April 2, 2024
  • Published : April 30, 2024

Beom-seok Cha 1 Woo-Jin Wi 1 Hyung-Jin Moon 1 Ryu Gab Sang 1

1동신대학교

Accredited

ABSTRACT

This manuscript proposes an artificial intelligence-based(AI) energy platform system that efficiently use existing energy than creating new energy than creating new energy sources. To this end, it collects public information data portal and statistics data portal and data emissions, including energy usage and greenhouse gas emissions, including energy consumption and greenhouse gas emissions.In addition, it provides strong security and personal information protection functions to overcome the limit of existing energy platform. Through the built energy platform, improving power supply and user convenience of users and users to contribute to global warming issues.In this paper, the contents to implement the contents of the system, and improvement direction from the future completion and improvement direction.

Citation status

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