A Brief Review on Accuracy Level of Smart and Micro Grid Systems Use of ML and DL Algorithms Through Hybrid Integration-Reference-Cited by-同舟云学术

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A Brief Review on Accuracy Level of Smart and Micro Grid Systems Use of ML and DL Algorithms Through Hybrid Integration

Published:2023-12-19 Issue: Volume: Page:528-532
ISSN:
Container-title:2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
language:
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Author:

Adhikari Pitamber¹,Prakash Febin²,Sharma Brajehdra³

Affiliation:

1. Noida Institute Of Engineering and Technology,Department of Information Technology & M.Tech Integrated,Greater Noida,Uttar Pradesh,India

2. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

3. Tula's Institute,Department of Computer Science and Engineering,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450149/10449970/10451447.pdf?arnumber=10451447

Reference43 articles.

1. Forecasting the Stability of A 4-node Architecture Smart Grid Using Machine Learning

2. Machine Learning Based Short-Term Load Forecasting for Smart Meter Energy Consumption Data in London Households

3. Industrial load forecasting using machine learning in the context of smart grid

4. Energy Consumption Forecasting in Home Energy Management System using Deep Learning Techniques

5. Deep Learning Networks for Vectorized Energy Load Forecasting

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