An energy efficient street lighting framework: ANN-based approach

被引:0
|
作者
Pragna Labani Sikdar
Parag Kumar Guha Thakurta
机构
[1] NIT Durgapur,Department of Computer Science and Engineering
关键词
Street lighting; Energy consumption; Illuminance; Artificial neural network; Mean square error;
D O I
暂无
中图分类号
学科分类号
摘要
An energy efficient street lighting framework is proposed in this paper to reduce energy consumption obtained from the street lights. It is determined for various possible inter-distances offered by International Commission on Illumination. An ANN model is approached to obtain such reduced energy consumption for various traffic volumes on the road with minimum mean square error. The results of the proposed approach show an improvement over existing works.
引用
收藏
页码:131 / 139
页数:8
相关论文
共 50 条
  • [41] Energy-/Area-Efficient Spintronic ANN-based Digit Recognition via Progressive Modular Redundancy
    Hossain, Mousam
    Tatulian, Adrian
    Thummala, Harshavardhan Reddy
    DeMara, Roanld F.
    Salehi, Soheil
    2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS, 2023,
  • [42] Noise utilization as an approach for reducing energy consumption in street lighting
    Farghaly, Yasser A.
    Hemeida, Fahd Abdel Aziz
    Salah, Sahar
    PLOS ONE, 2019, 14 (07):
  • [43] Energy-efficient Street Lighting Using a Mitsubishi Alpha 2 PLC Based Solution
    Pasc, Petru-Claudiu
    Dumitru, Cristian-Dragos
    10TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2016, 2017, 181 : 824 - 828
  • [44] ANN-Based Extraction Approach of PV Cell Equivalent Circuit Parameters
    Gastli, A.
    Ben-Brahim, L.
    Rhouma, M. B. H.
    2015 17TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'15 ECCE-EUROPE), 2015,
  • [45] ANN-Based Continual Classification in Agriculture
    Li, Yang
    Chao, Xuewei
    AGRICULTURE-BASEL, 2020, 10 (05):
  • [46] The ANN-based computing of drowsy level
    Kurt, Muhammed B.
    Sezgin, Necmettin
    Akin, Mehmet
    Kirbas, Gokhan
    Bayram, Muhittin
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (02) : 2534 - 2542
  • [47] Energy-Efficient Street Lighting through Embedded Adaptive Intelligence
    Lau, Sei Ping
    Merrett, Geoff V.
    White, Neil M.
    2013 INTERNATIONAL CONFERENCE ON ADVANCED LOGISTICS AND TRANSPORT (ICALT), 2013, : 53 - 58
  • [48] An ANN-based model for the prediction of internal lighting conditions and user actions in non-residential buildings
    Katsanou, Varvara N.
    Alexiadis, Minas C.
    Labridis, Dimitris P.
    JOURNAL OF BUILDING PERFORMANCE SIMULATION, 2019, 12 (05) : 700 - 718
  • [49] The design and implementation of an energy efficient street lighting monitoring and control system
    Lavric, Alexandru
    Popa, Valentin
    Finis, Ilie
    Simion, Daniel
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (11A):
  • [50] An Efficient Method for Air Quality Evaluation via ANN-based Image Recognition
    Chen, Xiaoguang
    Li, Yaru
    Li, Dongyue
    PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016), 2016, 133 : 253 - 256