An IoT Based Smart Watt Metering for Energy Management System

Author:

Prof. Bhangare Swati Nivrutti 1,Prof. Jadhav Vrushali Kailas 1,Prof. Barahate Shital Atul 1

Affiliation:

1. Pune Vidyarthi Griha’s College of Engineering & Shrikrushna S. Dhamankar Institute of Management, Nashik

Abstract

This paper presents the analysis of IoT based Smart Watt Metering for Energy Management System. The proposed system, "An IoT Based Smart Watt Metering for Energy Management System," introduces a cost-effective and energy-efficient solution for monitoring and managing power consumption of electrical appliances. Utilizing non-intrusive current and voltage sensors, the system measures key electrical parameters such as current, voltage, and power factor in real-time. The ESP32 microcontroller, known for its low power consumption, processes and transmits this data via Wi-Fi to a central server or cloud platform, enabling remote access through a user-friendly web or mobile application. The interface allows users to visualize power usage trends, set consumption thresholds, and receive alerts for abnormal usage. Additionally, the system incorporates data logging capabilities, storing historical consumption data for long-term analysis and energy-saving decision-making. This innovative approach provides a detailed and accessible means for users to optimize energy usage and reduce costs, contributing to more efficient energy management amidst the global energy crisis

Publisher

Naksh Solutions

Reference20 articles.

1. [1] Noor Nateq Alfaisaly, Suhad Qasim Naeem, Eman K. Jassim, Adnan Ali Abdullah, “Study on Smart Designed Power Monitoring System Using IoT Devices”, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 11 Issue: 10, October 2023.

2. [2] Garrab.A, Bouallegue.A, Ben Abdullah, “A new AMR approach for energy savings in Smart Grids using Smart metre and partial power line communication”, IEEE First International Conference on ICICS, vol 3, pp. March 2022.

3. [3] Landi,c.: Dipt. Di Ing.dell” Inf, SecondaUniv di Napoli, Aversa, Italy; Merola p. “AMR-based energy management

4. system using smart metre and Web server”, IEEE instrumentation and measurement technology conference beijing, pp.1-5 may 2021.

5. [4] M. K. Hasan, M. M. Ahmed, S. S. Musa et al., “An improved dynamic thermal current rating model for PMUbased

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3