IoT Based Smart Control of Load for Demand Side Management

Author:

Sankar A. Muni1,Reddy T. Kosaleswara2,Nagaraja Y.3,Tejaswi D.4

Affiliation:

1. Assistant Professor, Department of Information Technology, Devang Patel Institute of Advance Technology and Research, Charotar University of Science and Technology, Gujarat, India

2. Assistant Professor, Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India

3. Assistant Professor, Department of Electrical and Electronics Engineering, Annamacharya Institute of Technology and Sciences, Kadapa, India

4. Student, Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India

Abstract

One of the most significant gifts that science has bestowed upon humanity is electricity. It has also assimilated into contemporary life, and it is impossible to imagine existence without it. In our daily lives, electricity serves a variety of purposes. Based on World Bank report, the quantity of lost earnings due to electrical outages is projected at 5.47%. Especially in India, these losses are even more. Energy meter in India doesn't provide two-way communication. However, domestic consumers and farmers cannot control their loads remotely. Another challenge in today’s system is electricity consumers are unaware of their electricity consumption patterns and tariff accounting process. Every time a consumer cannot go outside of the house and check their reading in energy meter. To overcome these challenges, IoT technology has been used. IoT is a new technology that connects users to physical devices. The proposed work uses ESP32 based hardware circuits to control the 220V AC supply power outlet. The main aim of this paper is to develop a sophisticated system that allow remote control of load, real-time monitoring, creating awareness in customers and ultimately to save energy.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mobile Wireless ADHOC Networks Energy Consumption Monitoring and Quality of Service Analysis;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2023-04-06

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