Realizing the transactive energy future with local energy market: an overview
Purpose of Review A transactive energy (TE) future promises to allow a large number of
prosumers to be profit-seeking market participants. One way to realize this future is through …
prosumers to be profit-seeking market participants. One way to realize this future is through …
Model-based synthesis of fault trees from matlab-simulink models
Y Papadopoulos, M Maruhn - 2001 International Conference …, 2001 - ieeexplore.ieee.org
We outline a new approach to safety analysis in which concepts of computer HAZOP are
fused with the idea of software fault tree analysis to enable a continuous assessment of an …
fused with the idea of software fault tree analysis to enable a continuous assessment of an …
Agent-based analysis of capacity withholding and tacit collusion in electricity markets
AC Tellidou, AG Bakirtzis - IEEE Transactions on power …, 2007 - ieeexplore.ieee.org
This paper employs agent-based simulation to study energy market performance and, in
particular, capacity withholding and the emergence of tacit collusion among the market …
particular, capacity withholding and the emergence of tacit collusion among the market …
An agent-based simulation of power generation company behavior in electricity markets under different market-clearing mechanisms
Deregulated electricity markets are expected to provide affordable electricity for consumers
through promoting competition. Yet, the results do not always fulfill the expectations. The …
through promoting competition. Yet, the results do not always fulfill the expectations. The …
Competition, risk and learning in electricity markets: An agent-based simulation study
This paper studies the effects of learning and risk aversion on generation company (GenCo)
bidding behavior in an oligopolistic electricity market. To this end, a flexible agent-based …
bidding behavior in an oligopolistic electricity market. To this end, a flexible agent-based …
A comparison of Nash equilibria analysis and agent-based modelling for power markets
In this paper we compare Nash equilibria analysis and agent-based modelling for assessing
the market dynamics of network-constrained pool markets. Power suppliers submit their bids …
the market dynamics of network-constrained pool markets. Power suppliers submit their bids …
Markov game approach for multi‐agent competitive bidding strategies in electricity market
In a competitive electricity market, suppliers seek the optimal bidding strategy, maximising
their individual profit. Due to the uncertainties, unknown parameters and dynamics of …
their individual profit. Due to the uncertainties, unknown parameters and dynamics of …
The emerging threat of artificial intelligence on competition in liberalized electricity markets: A deep Q-network approach
DE Aliabadi, K Chan - Applied energy, 2022 - Elsevier
Abstract According to Sustainable Development Goals (SDGs), societies should have
access to affordable, reliable, and sustainable energy. Liberalized electricity markets have …
access to affordable, reliable, and sustainable energy. Liberalized electricity markets have …
Behavioral simulation and optimization of generation companies in electricity markets by fuzzy cognitive map
SF Ghaderi, A Azadeh, BP Nokhandan… - Expert systems with …, 2012 - Elsevier
Simulation can be used in a wide range of applications in an electricity market. There are
many reasons that market players and regulators are very interested in anticipating the …
many reasons that market players and regulators are very interested in anticipating the …
Explainable Deep Reinforcement Learning for Multi-Agent Electricity Market Simulations
As electricity systems evolve in the light of increased volatility and market variety,
understanding market dynamics through simulations becomes crucial. Deep reinforcement …
understanding market dynamics through simulations becomes crucial. Deep reinforcement …