Supervised Learning based Demand Response Simulator with RTP and PTR in Context of Smart Grid-Reference-Cited by-同舟云学术

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Supervised Learning based Demand Response Simulator with RTP and PTR in Context of Smart Grid

Published:2022-01-02 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE)
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Author:

Sharma Ankit Kumar¹,Saxena Akash¹,Soni Bhanu Pratap²,Palwaliya Dheeraj Kumar³

Affiliation:

1. Swami Keshvanand Institute of Technology M & G,Department of Electrical Engineering,Jaipur,India

2. University of Engineering & Management,Department of Electrical Engineering,Jaipur,India,303807

3. Rajasthan Technical University,Department of Electrical Engineering,Kota,India,324010

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9715739/9715740/09715741.pdf?arnumber=9715741

Reference26 articles.

1. Predictably irrational;ariely,2008

2. A summary of demand response in electricity markets

3. Present status and future trends in enabling demand response programs

4. Impact of demand response contracts on load forecasting in a smart grid environment;zhou;IEEE Power & Energy Society General Meeting 2012,2012

5. Flexible demand response programs modeling in competitive electricity markets

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1. A Systematic Approach to Improving Consumers’ Comfort through on-Grid Renewable Energy Integration and Battery Storage;Electric Power Components and Systems;2023-12-13

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