A competitive and profitable multi-agent autonomous broker for energy markets-Reference-Cited by-同舟云学术

A competitive and profitable multi-agent autonomous broker for energy markets

Published:2019-08 Issue: Volume:49 Page:101590
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Rodríguez González Ansel Y.,Palacios Alonso Miguel,Lezama Fernando,Rodríguez Lino,Muñoz de Cote Enrique,Morales Eduardo F.,Enrique Sucar Luis,Crockett Douglas D.

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference34 articles.

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2. Understanding electric power systems: An overview of the technology and the marketplace;Casazza,2003

3. Investigation of learning strategies for the spot broker in power TAC;Chowdhury,2017

4. Predicting prices in the power TAC wholesale energy market;Chowdhury,2016

5. Designing robust strategies for continuous trading in contemporary power markets;Diamantopoulos,2013

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1. Model-free distributed integral sliding mode predictive control for multi-agent systems with communication delay;Neurocomputing;2024-02

2. Dynamic Pricing Strategy in Electricity Trading Market Based on Reinforcement Learning;2023 35th Chinese Control and Decision Conference (CCDC);2023-05-20

3. AgentUDE: A Smart Broker Agent for Autonomous Power Trading;Applied Innovation and Technology Management;2023

4. Data Mining and Analysis in Power and Energy Systems: An Introduction to Algorithms and Applications *;Intelligent Data Mining and Analysis in Power and Energy Systems;2022-12-02

5. Framework to Predict Energy Prices and Trades in the Wholesale Market of PowerTAC;Proceedings of the 14th International Conference on Agents and Artificial Intelligence;2022