Journal of Internet of Things and Convergence (사물인터넷융복합논문지)

The Korea Internet of Things Society (한국사물인터넷학회)
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A Study on the Energy Platform to Reduce Carbon Emissions

탄소배출 저감을 위한 에너지 플랫폼 연구

  • Beom-seok Cha (Dept. of Computer Engineering, Dongshin University) ;
  • Hyung-Jin Moon (Dept. of Computer Engineering, Dongshin University) ;
  • Woojin Wi (Dept. of Computer Engineering, Dongshin University) ;
  • Gab-Sang Ryu (Dept. of Computer Engineering, Dongshin University)
  • 차범석 (동신대학교 컴퓨터공학과) ;
  • 문형진 (동신대학교 컴퓨터공학과) ;
  • 위우진 (동신대학교 컴퓨터공학과) ;
  • 류갑상 (동신대학교 컴퓨터공학과)
  • Received : 2024.02.28
  • Accepted : 2024.04.02
  • Published : 2024.04.30
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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.

본 논문에서는 지구온난화 문제를 해결하기 위해 새로운 에너지원을 만드는 것보다 기존 에너지을 효율적으로 활용하는 인공지능 기반의 에너지 플랫폼 시스템을 제안한다. 이를 위해 공공정보 데이터 포털 및 기상청 데이터를 수집하고 분석하여 최근 5년간 에너지 사용량 및 온실가스 배출량 등 전반적인 에너지 데이터를 전력공급자와 사용자에게 제공하여, 사용자 친화적인 인터페이스를 통해 실시간 에너지 정보 제공 및 효율적인 분산전원 시스템을 제공하고자 한다. 또한 기존 에너지 플랫폼의 한계점을 극복하기 위해 강력한 보안 및 개인정보 보호 기능을 제공하고 있다. 구축된 에너지 플랫폼을 통해 전력 공급자와 사용자의 편의성을 향상 시키고, 불필요한 과잉 전력 생산을 방지하여 지구온난화 문제에 기여하고자 한다. 본 논문에서는 시스템의 설계부터 구현까지의 내용을 상세하게 설명하고, 향후 보완 및 개선 방향을 제시한다.

Keywords

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