Real-time Retail Electricity Pricing Using Offline Reinforcement Learning-Reference-Cited by-同舟云学术

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Real-time Retail Electricity Pricing Using Offline Reinforcement Learning

Published:2024-05-31 Issue: Volume:22 Page:454-458
ISSN:
Container-title:The 15th ACM International Conference on Future and Sustainable Energy Systems
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Author:

Kumar Sharath Ram¹^ORCID,Easwaran Arvind²^ORCID,Delinchant Benoit³^ORCID,Rigo-Mariani Remy³^ORCID

Affiliation:

1. Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, France and Nanyang Technological University, Singapore and CNRS@CREATE LTD, Singapore

2. Nanyang Technological University, Singapore and CNRS@CREATE LTD, Singapore

3. Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, France and CNRS@CREATE LTD, Singapore

Funder

Centre National de la Recherche Scientifique

National Research Foundation Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3632775.3661964

Reference12 articles.

1. A tutorial on kernel density estimation and recent advances

2. Goutam Dutta and Krishnendranath Mitra. 2017. A literature review on dynamic pricing of electricity. 1131-1145 pages. Issue 10. https://doi.org/10.1057/s41274-016-0149-4

3. Matt Ewan. 2024. European wholesale electricity price data. https://ember-climate.org/data-catalogue/european-wholesale-electricity-price-data/

4. Estimating the Elasticity to Real-Time Pricing: Evidence from the Spanish Electricity Market

5. Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning

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