A Low-cost Non-intrusive Appliance Load Monitoring System

被引:0
|
作者
Das, Supratim [1 ]
Srikrishna [1 ]
Shukla, Ankita [1 ]
Harsha, G. N. S. [1 ]
Deb, Sujay [1 ]
机构
[1] Indraprastha Inst Informat Technol Delhi, Dept Elect & Commun Engn, New Delhi, India
关键词
Energy management; non-intrusive; event driven framework;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The major problem in current day's scenario is the increasing power consumption and vastly decreasing energy resources, especially in developing countries like India. This calls for a dire need to properly monitor power usage and take necessary steps to optimize the usage. To achieve this goal, a proper system needs to be developed that can provide the energy requirements and usage at all levels and build automating systems that reduce the unnecessary usage and losses. Towards this goal, we try to design a architecture which generate models for power usage in real time and that requires the minimal amount to changes to existing structures.
引用
收藏
页码:1641 / 1644
页数:4
相关论文
共 50 条
  • [41] Development of a real-time non-intrusive appliance load monitoring system: An application level model
    Trung Kien Nguyen
    Dekneuvel, Eric
    Jacquemod, Gilles
    Nicolle, Benjamin
    Zammit, Olivier
    Van Cuong Nguyen
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 90 : 168 - 180
  • [42] Non-Intrusive Load Monitoring: A Review
    Schirmer, Pascal A.
    Mporas, Iosif
    IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (01) : 769 - 784
  • [43] A Survey on the Non-intrusive Load Monitoring
    Deng X.-P.
    Zhang G.-Q.
    Wei Q.-L.
    Peng W.
    Li C.-D.
    Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (03): : 644 - 663
  • [44] EVALUATION OF NON-INTRUSIVE LOAD MONITORING ALGORITHMS FOR APPLIANCE-LEVEL ANOMALY DETECTION
    Rashid, Haroon
    Stankovic, Vladimir
    Stankovic, Lina
    Singh, Pushpendra
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8325 - 8329
  • [45] Decollators Design of Load Recognition System in Non-intrusive Load Monitoring
    Lin, Chen
    Cai, Daquan
    2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 226 - 232
  • [46] Life Pattern Sensor with Non-intrusive Appliance Monitoring
    Katsukura, Makoto
    Nakata, Masanori
    Itou, Yoshiaki
    Kushiro, Noriyuki
    2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 2009, : 195 - 196
  • [47] Energy consumption prediction of a smart home using non-intrusive appliance load monitoring
    Lazhar Chabane
    Said Drid
    Larbi Chrifi-Alaoui
    Laurant Delahoche
    International Journal of System Assurance Engineering and Management, 2024, 15 : 1231 - 1244
  • [48] Non-Intrusive Load Monitoring Method for Appliance Identification Using Random Forest Algorithm
    Nuran, Andi Shridivia
    Murti, Muhammad Ary
    Suratman, Fiky Y.
    2023 IEEE 13TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE, CCWC, 2023, : 754 - 758
  • [49] Competitive Autoassociative Neural Networks for Electrical Appliance Identification for Non-Intrusive Load Monitoring
    Morais, Lorena R.
    Castro, Adriana R. G.
    IEEE ACCESS, 2019, 7 : 111746 - 111755
  • [50] A Scenario-Based Stochastic Optimization Approach for Non-Intrusive Appliance Load Monitoring
    Shahroz, Muhammad
    Younis, Muhammad Shahzad
    Nasir, Hasan Arshad
    IEEE ACCESS, 2020, 8 : 142205 - 142217