Multi-agent based modeling and learning approach for intelligent day-ahead bidding strategy in wholesale electricity market-Reference-Cited by-同舟云学术

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Multi-agent based modeling and learning approach for intelligent day-ahead bidding strategy in wholesale electricity market

Published:2023-12 Issue: Volume:233 Page:121014
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Vijaya Chandrakala K.R.M.,Kiran P.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. A review on DC microgrid control techniques, applications and trends;Bharath;International Journal of Renewable Energy Research,2019

2. Real time implementation of multi-agent-based game theory reverse auction model for microgrid market operation;Cintuglu;IEEE Transactions on Smart Grid,2015

3. Electricity markets: Analysis & operations;Conejo;IET Generation, Transmission and Distribution,2010

4. Electricity market- pricing;Haris,2006

5. Agent based modeling of retail electrical energy markets with demand response;Dehghanpour;IEEE Transactions on Smart Grid,2018

Cited by 2 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. 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

2. Analysis of Multi Area Load Frequency Control under Bilateral Market Incorporating Renewable Energy Source;2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T);2024-01-18

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