Reinforcement Learning-Based Bi-Level strategic bidding model of Gas-fired unit in integrated electricity and natural gas markets preventing market manipulation-Reference-Cited by-同舟云学术

Reinforcement Learning-Based Bi-Level strategic bidding model of Gas-fired unit in integrated electricity and natural gas markets preventing market manipulation

Published:2023-04 Issue: Volume:336 Page:120813
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ren Kezheng^ORCID,Liu Jun^ORCID,Liu Xinglei^ORCID,Nie Yongxin^ORCID

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference49 articles.

1. Network-secure bidding optimization of aggregators of multi-energy systems in electricity, gas, and carbon markets;Coelho;Appl Energy,2021

2. Pricing Flexible Natural Gas Supply Contracts Under Uncertainty in Hydrothermal Markets;Street;IEEE Trans Power Syst,2008

3. Equilibrium of Interdependent Gas and Electricity Markets With Marginal Price Based Bilateral Energy Trading;Wang;IEEE Trans Power Syst,2018

4. Convex Optimization Based Distributed Optimal Gas-Power Flow Calculation;Wang;IEEE Trans Sustain Energy,2018

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Collaborative optimization of multi-energy multi-microgrid system: A hierarchical trust-region multi-agent reinforcement learning approach;Applied Energy;2024-12

2. A two-tier bidding model considering a multi-stage offer‑carbon joint incentive clearing mechanism for coupled electricity and carbon markets;Applied Energy;2024-08

3. Forecasting individual bids in real electricity markets through machine learning framework;Applied Energy;2024-06

4. Incentive-oriented power‑carbon emissions trading-tradable green certificate integrated market mechanisms using multi-agent deep reinforcement learning;Applied Energy;2024-03

5. A data-driven DRL-based home energy management system optimization framework considering uncertain household parameters;Applied Energy;2024-02