Predicting Smart Grid System Stability Using Machine Learning Techniques for Renewable Energy Sources-Reference-Cited by-同舟云学术

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Predicting Smart Grid System Stability Using Machine Learning Techniques for Renewable Energy Sources

Published:2023-11-01 Issue: Volume: Page:624-630
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Author:

Tiwari Shivam¹,Sharma Ashish²,Bhardwaj Barkha³,Singh Pooja²,Tripathi Sudhanshu⁴

Affiliation:

1. Sharda University,Department of Computer Science & Engineering,Greater Noida

2. Galgotias University,Department of Computer Science & Engineering,Greater Noida

3. NIET,Department of Computer Science & Engineering,Greater Noida

4. Amity University,Tashkent

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390513.pdf?arnumber=10390513

Reference30 articles.

1. Smart Grid: The Electric Energy System of the Future [Scanning the Issue]

2. Secure Communications in Smart Grid: Networking and Protocols

3. Framework to manage multiple goals in community-based energy sharing network in smart grid

4. Predicting Smart Grid Stability with Optimized Deep Models

5. Taming instabilities in power grid networks by decentralized control

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