Cloud-Based Machine Learning for Voltage and Frequency Control in Transactive Energy Markets-Reference-Cited by-同舟云学术

Cloud-Based Machine Learning for Voltage and Frequency Control in Transactive Energy Markets

Published:2024-04-12 Issue: Volume: Page:1162-1167
ISSN:
Container-title:2024 10th International Conference on Communication and Signal Processing (ICCSP)
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Author:

Sathyanathan P.¹,Manikandan S.²,Chandrakala D.³,Rajan V R⁴,Arunagiri Bhuvaneswari⁵,Rajarajan S.⁶

Affiliation:

1. R&D Institute of Science and Technology,VelTech Rangarajan Dr.Sagunthala,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

2. Meenakshi Sundararajan Engineering College,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

3. Easwari Engineering College,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

4. MVJ College of Engineering,Department of Electrical and Electronics Engineering,Bangalore,Karnataka,India

5. Adhiparasakthi Engineering College,Department of Technology,Melmaruvathur,Tamil Nadu,India

6. Sri Sai Ram Institute of Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543256/10543221/10543874.pdf?arnumber=10543874

Reference20 articles.

1. Dynamic voltage frequency scaling and dynamic network service method in cloud computing by using green cloud

2. IoT-Driven Image Recognition for Microplastic Analysis in Water Systems using Convolutional Neural Networks

3. Agriculture Yield Estimation Using Machine Learning Algorithms

4. Sentinel Rover: Cutting-Edge Wireless Mine Detection and Alert System for High-Risk Terrains

5. MODEL BASED PREDICTIVE CONTROL STRATEGY FOR GRID-CONNECTED WIND ENERGY SYSTEM