In a competitive electricity market, the oligopoly structure of the market and the network
constraints may produce results far from the perfect competition. This paper presents a …

This paper introduces a stochastic programming model that integrates strategic bids or offers
for electricity (in quantities and prices) in a deregulated electricity market. The model is …

Power producers in a deregulated electricity market require a suitable strategy for bidding in
order to maximize their benefit. Therefore, individual power supplier bids strategically for …

This paper suggests an evolutionary approach to generate bidding strategies for power
auctions. Bidding strategies are represented by fuzzy rule-based systems due to its …

Bidding strategies play important roles in maximizing the profits of power suppliers in
competitive electricity markets. Therefore, it will be an advantage for a supplier to search for …

This article suggests an evolutionary approach to designing interaction strategies for
multiagent systems, focusing on strategies modeled as fuzzy rule‐based systems. The aim is …

This paper suggests an evolutionary approach to design coordination strategies for
multiagent systems. Emphasis is given to auction protocols since they are of utmost …

This article examines the shortage of current bidding models and proposes a model called
“Feasibility Analytical Mapping (FAM)” for the bidding decision. FAM provides decision …

Following the development of online markets, trading practices as dynamic pricing, online
auctions and exchanges have become relevant to a variety of markets. In this paper we …

In a deregulated market environment, Generation Companies (GENCOs) develop bidding
strategies to increase their benefits. Electricity Markets (EMs) are not perfectly competitive …