Intelligent Cooling Management System Responding to Automated Demand Response

被引:0
|
作者
Kwon, Kiwoong [1 ]
Kim, Sanghun [1 ]
Yun, Jungmee [1 ]
Lee, Sanghak [1 ]
机构
[1] Korea Elect Technol Inst, Energy IT Convergence Res Ctr, Seongnam, South Korea
关键词
demand response; energy management system; deep learning; power saving;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Demand response(DR) is to maintain the balance of supply and demand by instructing load reduction in preparation for power supply shortage. With the development of IoT, the range of customers participating in DR is being expanded from large buildings to small buildings. This paper proposes the intelligent cooling management system responding to automated demand response which automatically control the air conditioner in response to DR. We constructed an experimental test bed and performed measurements in terms of power saving and user satisfaction. According to the performance evaluation results, the proposed system reduces power usage by 16.49% than usual, and makes 99.84% of households keep DR participation, that is most of the households is satisfied with the proposed system.
引用
收藏
页码:1780 / 1782
页数:3
相关论文
共 50 条
  • [1] An Intelligent Home Energy Management System to Improve Demand Response
    Ozturk, Yusuf
    Senthilkumar, Datchanamoorthy
    Kumar, Sunil
    Lee, Gordon
    IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (02) : 694 - 701
  • [2] An Efficient Home Energy Management System for Automated Residential Demand Response
    Khomami, Hadis Pourasghar
    Javidi, Mohammad Hossein
    2013 13TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2013, : 307 - 312
  • [3] Intelligent Load Demand Response System
    Kamal, Areeb
    Faraz, Md Saquib
    Pathak, Rahul
    Kumar, Narendra
    Rizwan, M.
    PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021), 2021, : 1141 - 1147
  • [4] A hybrid inventory management system responding to regular demand and surge demand
    Roni, Mohammad S.
    Jin, Mingzhou
    Eksioglu, Sandra D.
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2015, 52 : 190 - 200
  • [5] Intelligent Residential Energy Management System for Dynamic Demand Response in Smart Buildings
    Arun, S. L.
    Selvan, M. P.
    IEEE SYSTEMS JOURNAL, 2018, 12 (02): : 1329 - 1340
  • [6] An Intelligent Energy Management System to Optimise Demand Response in Smart Micro Grids
    Chanda, Sandip
    De, Abhinandan
    2016 2ND INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, ENERGY & COMMUNICATION (CIEC), 2016, : 397 - 401
  • [7] Intelligent system for demand management in primary care
    Pardo, M. E. Lopez-Pardo
    Carrera, F. J. Represas
    Cerqueiras, V. Bustelo
    Romero, E. Rego
    Dali, A. Perez
    Abellon, M. J. Rodriguez
    Linares, S. Lopez
    Calvo, B. Roson
    JOURNAL OF HEALTHCARE QUALITY RESEARCH, 2023, 38 (03) : 144 - 151
  • [8] Multiagent System for Intelligent Water Demand Management
    Ponte, Borja
    de la Fuente, David
    Pino, Raul
    Priore, Paolo
    2013 INTERNATIONAL CONFERENCE ON NEW CONCEPTS IN SMART CITIES: FOSTERING PUBLIC AND PRIVATE ALLIANCES (SMARTMILE), 2013,
  • [9] An intelligent semantic system for real-time demand response management of a thermal grid
    Li, Yu
    Rezgui, Yacine
    Kubicki, Sylvain
    SUSTAINABLE CITIES AND SOCIETY, 2020, 52
  • [10] Dynamic demand response in smart buildings using an intelligent residential load management system
    Arun, Saravana Loganathan
    Selvan, Manickavasagam Parvathy
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (17) : 4348 - 4357