Deep reinforcement learning-aided bidding strategies for transactive energy market

A Taghizadeh, M Montazeri… - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
The concept of transactive energy market (TEM) has been introduced to efficiently balance
supply and demand across the electrical networks in a distributed manner. TEM allows …

[HTML][HTML] Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

P Rokhforoz, M Montazeri, O Fink - Expert Systems with Applications, 2023 - Elsevier
Finding optimal bidding strategies for generation units in electricity markets would result in
higher profit. However, it is a challenging problem due to the system uncertainty which is …

A reinforcement learning algorithm for agent-based computational economics (ACE) model of electricity markets

BM Radhakrishnan, D Srinivasan… - 2015 IEEE Congress …, 2015 - ieeexplore.ieee.org
Electricity markets in countries around the world are being restructured in pursuit of
economic efficiency through competition. However, unpredictability in electricity prices and …

Simulation of Hydro Power Plants in Electricity Markets Using an Agent-Based Model

JCV Sousa - 2021 - search.proquest.com
The Portuguese power system is characterized by having around 70% of installed capacity
coming from renewable sources where hydro power plants represent 34% distributed by …

A reinforcement learning algorithm developed to model GenCo strategic bidding behavior in multidimensional and continuous state and action spaces

AYF Lau, D Srinivasan, T Reindl - 2013 IEEE Symposium on …, 2013 - ieeexplore.ieee.org
The electricity market has provided a complex economic environment, and consequently
has increased the requirement for advancement of learning methods. In the agent-based …

Using eligibility traces in bidding strategy of gencos in spinning reserve and energy markets for different market allocation models

SMA Naseri-Javareshk, SH Darban… - Electrical …, 2018 - ieeexplore.ieee.org
In competitive environment of power industry, forming different markets, one of the important
issues playing a key role in Generation Companies'(GENCOs) profitability, is bidding …

[PDF][PDF] Bidding Simulation Methods of Multi-input Decision Factors for Power Suppliers based on Intelligent Agent

H Feng, Z Yang, H Wang - scholar.archive.org
With the development of electric power industry, it has become an urgent problem of
deregulation of the industry. From monopoly to free competition, the market participants' …

[PDF][PDF] An Agent-based computational economics model of the National Electricity Market of Singapore.

LY Fu - 2013 - core.ac.uk
Electricity markets in countries around the world are being restructured in pursuit of
economic efficiency through competition. However, volatility in electricity prices and previous …

[PDF][PDF] BIDDING IN POWER MARKET VIA Q-LEARNING ADAPTIVELLY TUNNED BY MARKET POWER

R Kakooee, MB Naghibi-Sistani - 2012 - researchgate.net
Exploration-exploitation compromise of the learning policy is one of the most critical
challenges for the supplier agents who use learning methods such as reinforcement …

[引用][C] Bidding strategy on demand side using eligibility traces algorithm

SMAN Gavareshk, SH Darban, A Noori, M Besharatifar - Int. J. Smart Elec. Eng., 2017