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
来源：
Innovations in Systems and Software Engineering | 2021年 / 17卷
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
  • [1] An energy efficient street lighting framework: ANN-based approach
    Sikdar, Pragna Labani
    Thakurta, Parag Kumar Guha
    [J]. INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING, 2021, 17 (02) : 131 - 139
  • [2] Multiobjective energy efficient street lighting framework: A data analysis approach
    Sikdar, Pragna Labani
    Kar, Samarjit
    Thakurta, Parag Kumar Guha
    [J]. APPLIED INTELLIGENCE, 2022, 52 (15) : 17237 - 17263
  • [3] Multiobjective energy efficient street lighting framework: A data analysis approach
    Pragna Labani Sikdar
    Samarjit Kar
    Parag Kumar Guha Thakurta
    [J]. Applied Intelligence, 2022, 52 : 17237 - 17263
  • [4] ANN-based estimation of time-dependent energy loss in lighting systems
    Sahin, Mustafa
    Oguz, Yuksel
    Buyuktumturk, Fuat
    [J]. ENERGY AND BUILDINGS, 2016, 116 : 455 - 467
  • [5] Energy Efficient Traffic-Based Street Lighting Automation
    Nefedov, Evgeny
    Maksimainen, Mikko
    Sierla, Seppo
    Yang, Chen-Wei
    Flikkema, Paul
    Kosonen, Iisakki
    Luttinen, Tapio
    [J]. 2014 IEEE 23RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2014, : 1718 - 1723
  • [6] The ANN-based approach to identify behavior of a model
    Cao, HB
    Cai, JY
    Huang, YH
    [J]. ISTM/2001: 4TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2001, : 945 - 948
  • [7] Efficacious tuning in energy efficient street lighting
    Sikdar, Pragna Labani
    Anurag, Abhinav
    Thakurta, Parag Kumar Guha
    [J]. INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2023, 43 (01) : 53 - 63
  • [8] Ultrasonic Sensor based Efficient and Energy Saving Street Lighting System
    Tara, Kusum
    Islam, Md Hasibul
    Khatun, Mst Mousumi
    [J]. 2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 1321 - 1324
  • [9] An Approach to Energy-Efficient Street Lighting Control on the Basis of an Adaptive Model
    Shnayder, Dmitry A.
    Filimonova, Aleksandra A.
    Kazarinov, Lev S.
    [J]. INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1, 2019, 868 : 1271 - 1284
  • [10] An Energy-Efficient Street Lighting Approach Based on Traffic Parameters Measured by Wireless Sensing Technology
    Jiang, Yuxi
    Shuai, Yinghong
    He, Xiaoliang
    Wen, Xing
    Lou, Liangliang
    [J]. IEEE SENSORS JOURNAL, 2021, 21 (17) : 19134 - 19143
12345