Integration of Artificial Intelligence in Future Smart Grids: An LSTM-RNN based Approach for Optimizing Energy Efficiency in Smart Grids-Reference-Cited by-同舟云学术

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Integration of Artificial Intelligence in Future Smart Grids: An LSTM-RNN based Approach for Optimizing Energy Efficiency in Smart Grids

Published:2023-12-03 Issue: Volume:15 Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)
language:
Short-container-title:

Author:

Shees Anwer¹,Hussain Md Tahmid²,Tariq Mohd²,Sarwar Adil²,Sarwat Arif I.³

Affiliation:

1. Aligarh Muslim University,ZHCET,Department of Electronics Engineering,Aligarh,India

2. Aligarh Muslim University,ZHCET,Department of Electrical Engineering,Aligarh,India

3. Florida International University,Department of Elcetrical and Computer Engineering,Miami,FL,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406302/10407105/10408504.pdf?arnumber=10408504

Reference20 articles.

1. A Fault Tolerant Multilevel Inverter for Off-grid Solar Photovoltaic Application

2. Characterizing Current THD’s Dependency on Solar Irradiance and Supraharmonics Profiling for a Grid-Tied Photovoltaic Power Plant

3. Impact, Vulnerabilities, and Mitigation Strategies for Cyber-Secure Critical Infrastructure

4. Advancements and Challenges in Machine Learning: A Comprehensive Review of Models, Libraries, Applications, and Algorithms

5. Domestic Load Management With Coordinated Photovoltaics, Battery Storage and Electric Vehicle Operation

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