Neural Network-Based Models for Prediction of Smart Grid Stability-Reference-Cited by-同舟云学术

Neural Network-Based Models for Prediction of Smart Grid Stability

Published:2021-11-27 Issue: Volume: Page:
ISSN:
Container-title:2021 Innovations in Power and Advanced Computing Technologies (i-PACT)
language:
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Author:

Bingi Kishore¹,Prusty B Rajanarayan¹

Affiliation:

1. School of Electrical Engineering Vellore Institute of Technology,Vellore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9696358/9696444/09696517.pdf?arnumber=9696517

Reference16 articles.

1. Chaotic Time Series Prediction Model for Fractional-Order Duffing's Oscillator

2. Prediction of Turbidity in Beach Waves Using Nonlinear Autoregressive Neural Networks

3. Weather Prediction and Classification Using Neural Networks and k-Nearest Neighbors

4. Forecasting models for chaotic fractional-order oscillators using neural networks;bingi;International Journal of Ap-plied Mathematics and Computer Science,2021

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4. A Comparative Study of Various Machine Learning Algorithms to Detect Power Plant Stability;2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT);2022-12-23

5. Stability Prediction Model for Smart Grid Network That Handles Missing Input Variables;2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP);2022-07-21