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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM31295

IOT BASED SMART HOME ENERGY MANAGEMENT SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM31295

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KS

Kashilkar Shreya

DT

Durva Thapa

GP

Gauri Patil

PNCY

Prof. N. C. Yadav

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Abstract

The “Smart Home Energy Management System” is a project aimed at providing an efficient solution for monitoring and managing energy consumption in a household setting. Employing ESP8266 NodeMCU microcontrollers, Wi-Fi connectivity and non-invasive AC current clamp sensors, the system accurately measures current consumption. The project utilizes the ThingSpeak IoT platform for data management and visualization, allowing users to track energy usage in real-time and analyze historical trends. The system features multiple ESP8266 NodeMCU units, each equipped with a current sensor to monitor different circuits or appliances. Additionally, the system incorporates load control functionality using relays, enabling automated management of electrical devices. Through integration with LDR modules, the system can adjust lighting loads based on ambient light levels. Data, including current consumption and unit consumption, is periodically send to ThingSpeak platform for graphical representation and further analysis. The project presents a practical implementation of energy management in a smart home environment, offerings insights into energy usage patterns and promoting efficient resource utilization

KEYWORDS

ESP8266 NodeMCU Energy management Wi-Fi connectivity IoT platform ThingSpeak

Cite This Article

Kashilkar Shreya, Durva Thapa, Gauri Patil, Prof. N. C. Yadav, "IOT BASED SMART HOME ENERGY MANAGEMENT SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024.

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12/31/45402

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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