The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Energy-Saving Facility Control and Management Networks

에너지 절감형 장비 통합 관리 제어 네트워크

  • Lee, Yunseong (Chung-ang University Department of Computer Science and Engineering) ;
  • Jeong, Seohyeon (Chung-ang University Department of Computer Science and Engineering) ;
  • Na, Woongsoo (Chung-ang University Department of Computer Science and Engineering) ;
  • Park, Laihyuk (Chung-ang University Department of Computer Science and Engineering) ;
  • Cho, Sung-rae (Chung-ang University Department of Computer Science and Engineering)
  • Received : 2017.04.09
  • Accepted : 2017.04.11
  • Published : 2017.04.30
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Abstract

Recently, as energy use increases, interest in efficient energy management using ICT is increasing, and researches related to these technologies are being actively carried out. Research and commercialization of an integrated power management network model is receiving the most attention. In this paper, the current status and characteristics of technologies for energy use and management are reviewed.

최근 에너지 사용량이 증가하면서 전력기술과 ICT 등을 활용한 효율적 에너지 관리에 관한 관심이 많아지고 있으며, 이와 관련된 기술들에 대한 연구가 활발히 이루어지고 있다. 특히 통합형 전력 관리 네트워크 모델에 관한 연구 및 사업화가 가장 주목 받고 있다. 본 논문에서는 에너지 사용 및 관리를 위한 기술들에 관한 현황 및 특징 등을 살펴본다.

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References

  1. S. B. Lee, M. H. Park, Y. H. Kim, H. C. Cho, M. H. Kim, and H. U. Kang, "A study on the development of platform based on IoT," in Proc. Int. Conf. Commun., pp. 1059-1061. Jeju Island, Korea, Jun. 2016.
  2. J. Lee, "Comparison of smart grids demonstration projects and strategies in major leading countries," New & Renewable Energy, vol. 12, no. 2, pp. 40-48, Jun. 2016.
  3. Korea Energy Agency, New & Renewable Energy White Paper, Ministry of Trade, Industry & Energy, Korea Energy Agency, 2016.
  4. Korea Energy Agency, New & Renewable Energy Center, Understanding of renewable energy(2016), Retrived April 09, 2016, from http://www.knrec.or.kr
  5. H. Xu, H. Huang, R. S. Khalid, and H. Yu, "Distributed machine learning based smart-grid energy management with occupant cognition," in Proc. IEEE Int. Conf. Smart Grid Commun., pp. 491-496, Sydney, Australia, Nov. 2016.
  6. Y. Park and S. Kim, "Game theory-based bi-level pricing scheme for smart grid scheduling control algorithm," J. Commun. Netw.(JCN), vol. 18. no. 3. pp. 484-492. Sept. 2016. https://doi.org/10.1109/JCN.2016.000063
  7. P. C. Jain, "Trends in smart power grid communication and networking," IEEE, Sign. Process. Commun. (ICSC), pp. 374-379, Noida, India, Mar. 2015.
  8. L. Hernandez, C. Baladron, J. M. Aguiar, B. Carro, A. J. Sanchez-Esguevillas, J. Lloret, and J. Massana, "A survey on electric power demand forecasting: future trends in smart grids, microgrids and smart buildings," IEEE Commun. Surveys & Tuts., vol. 16, no. 3, pp. 1460-1495, Apr. 2014. https://doi.org/10.1109/SURV.2014.032014.00094
  9. Y. Kim, H.-M. Oh, and S. Choi, "A research on the traffic of smart grid communication network architecture based on smart meter," in Proc. KICS Int. Conf. Commun., pp. 650-651, Jeju Island, Korea, Jun. 2015.
  10. J. Kim and H. Kim, "Robust Optimization of Energy Storage System under Load Uncertainty," in Proc. KICS Int. Conf. Commun., pp. 92-93, Seoul, Korea, Nov. 2016.