Supervised learning‐based demand response simulator with incorporation of real time pricing and peak time rebate-Reference-Cited by-同舟云学术

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Supervised learning‐based demand response simulator with incorporation of real time pricing and peak time rebate

Published:2021-12 Issue:12 Volume:31 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Sharma Ankit Kumar¹²^ORCID,Saxena Akash¹^ORCID,Palwalia Dheeraj Kumar³

Affiliation:

1. Department of Electrical Engineering Swami Keshvanand Institute of Technology Management and Gramothan Jaipur India

2. Department of Electrical Engineering University of Engineering and Management Jaipur India

3. Department of Electrical Engineering Rajasthan Technical University Kota India

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.13229

Reference55 articles.

1. Demand-side view of electricity markets

2. Federal Energy Regulatory Commission.Assessment of demand response and advanced metering.2008.

3. Arenas‐MartínezM Herrero‐LopezS SanchezA et al.A comparative study of data storage and processing architectures for the smart grid. Paper presented at: 2010 First IEEE International Conference on Smart Grid Communications pp.285–290. IEEE 2010.

4. Household response to dynamic pricing of electricity: a survey of 15 experiments

5. Arcturus: International Evidence on Dynamic Pricing

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