Distributed Energy Management in a Hybrid Cloud Platform

This paper presents the development of an IoT EDGE-cloud communication framework using the MQTT messaging protocol, designed to serve as the foundation for a future smart energy management system. A bidirectional communication channel is implemented between an IoT EDGE device and the cloud to ensure continuous data transfer. The paper details the technical challenges encountered during development and the corresponding solutions, along with the potential areas for future work. The system is primarily coded in Python, leveraging tools such as Command Prompt and Visual Studio Code. Additionally, the implementation integrates various cloud services, including AWS IoT Core, Lambda, DynamoDB, Timestream, EC2, and CloudWatch, which are crucial to the development and operational performance of communication channel. The proposed solution is applicable in real-world scenarios, paving the way for advancements in energy technology such as peer-to-peer energy trading.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/icgea64602.2025.11009361
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Distributed Energy Management in a Hybrid Cloud Platform

Dhivya Sampath Kumar, Sivaneasan Bala Krishnan, Anurag Sharma, Avishek Kumar et al.
Cloud Computing and Resource Management
article

Distributed Energy Management in a Hybrid Cloud Platform

Dhivya Sampath Kumar, Sivaneasan Bala Krishnan, Anurag Sharma, Avishek Kumar, Barsha Sen, Joeray Tai
article en

Abstract

This paper presents the development of an IoT EDGE-cloud communication framework using the MQTT messaging protocol, designed to serve as the foundation for a future smart energy management system. A bidirectional communication channel is implemented between an IoT EDGE device and the cloud to ensure continuous data transfer. The paper details the technical challenges encountered during development and the corresponding solutions, along with the potential areas for future work. The system is primarily coded in Python, leveraging tools such as Command Prompt and Visual Studio Code. Additionally, the implementation integrates various cloud services, including AWS IoT Core, Lambda, DynamoDB, Timestream, EC2, and CloudWatch, which are crucial to the development and operational performance of communication channel. The proposed solution is applicable in real-world scenarios, paving the way for advancements in energy technology such as peer-to-peer energy trading.

Singapore Institute of Technology (SG)
Affordable and clean energy
Openalex Percentile: Top 84%
Cloud Computing and Resource Management
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Distributed Energy Management in a Hybrid Cloud Platform — Dhivya Sampath Kumar, Sivaneasan Bala Krishnan, et al. · (2025) | TGRS Research Map | TGRS