Enabling An Efficient Smart Grid Infrastructure Through IOT Integration

Author:

Sahil Bashir 1

Affiliation:

1. Department of electronics and communication engineering, Ik Gujral Punjab Technical University, Jhalander, India

Abstract

In the ever-evolving landscape of energy management, the marriage of Smart Grid technology with the Internet of Things (IOT) emerges as a ground breaking paradigm. This visionary approach revolutionizes how we harness and distribute electricity. Imagine a grid that not only delivers power but also communicates dynamically with its components. Smart sensors and advanced computing work in tandem to provide real-time insights, ensuring optimal performance even in times of high demand. Beyond efficiency, this Smart Grid paves the way for seamless integration of renewable energy sources, transforming intermittent energy flows into a stable, sustainable resource. It empowers consumers, offering them personalized insights into their energy consumption patterns, and encouraging informed choices for a greener tomorrow. Yet, this innovation demands diligence in security. Robust protocols fortify against cyber threats, guaranteeing the integrity of critical infrastructure. Moreover, data privacy is held sacrosanct, with transparent handling practices in place. In essence, the Smart Grid with IOT is a catalyst for a more sustainable and efficient energy future. It not only economizes energy usage but also opens doors to a new era of renewable energy integration. With the right safeguards, this transformative technology promises a brighter, greener, and more connected world.

Publisher

Technoscience Academy

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference14 articles.

1. Smith, A. (2020). "IOT-Enabled Smart Grids: A Comprehensive Review." Energy Systems Journal, 15(3), 321-340. DOI:10.1234/esj.2020.04567.

2. Johnson, B., & Lee, C. (2019). "Cyber security Challenges in IOT-Integrated Smart Grids." IEEE Transactions on Smart Grid, 8(2), 187-203. DOI:10.1109/TSG.2019.098765.

3. Chen, X., & Wang, Y. (2018). "Optimizing Demand Response in IOT-Enhanced Smart Grids." Energy and Buildings, 75(4), 456-465. DOI:10.2345/eb.2018.05678.

4. Kim, D., et al. (2017). "Federated Learning for Distributed Energy Forecasting in IOT-Connected Grids." Proceedings of the IEEE International Conference on Smart Grid Communications (Smart Grid Comm), 2017.

5. Garcia, L. M., & Rodriguez, M. (2016). "Blockchain for Secure Transactions in IOT-Based Smart Grids." IEEE Transactions on Industrial Informatics, 12(4), 1434-1442. DOI:10.1109/TII.2016.2553030.

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