Assessment of the broader applicability of a smart agent in peer-to-peer energy trading: A full factorial analysis of a multi-agent reinforcement learning solution-Reference-Cited by-同舟云学术

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Assessment of the broader applicability of a smart agent in peer-to-peer energy trading: A full factorial analysis of a multi-agent reinforcement learning solution

Published:2024-11 Issue: Volume:309 Page:133066
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

May Ross^ORCID,Carling Kenneth^ORCID,Huang Pei^ORCID

Funder

Formas

Publisher

Elsevier BV

Reference36 articles.

1. European union energy prices: statistics & facts;Anon,2024

2. Energy prices in europe: Latest trends and comparisons in 2024;Wark,2024

3. A meta-analysis on the price elasticity of energy demand;Labandeira;Energy Policy,2017

4. The demand-side resource opportunity for deep grid decarbonization;O’Shaughnessy;Joule,2022

5. Integration of prosumer peer-to-peer trading decisions into energy community modelling;Pena-Bello;Nat Energy,2022

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