Using Adaptive Fuzzy Negotiation of Multi-Agents Model in Bilateral Contracts for Electricity Market

we use a multi-agent architecture for bilateral contracts in electricity markets. In this paper, an agent-based negotiation method for bilateral contracts of energy is proposed. we focus on seller and buyer (supplier and consumer) agents in electricity market which negotiate between them in order to get the best deal. The negotiation process between buyer and its sellers begins through a time-constrained protocol. We use the development of negotiation that is based on adaptive fuzzy method and show the results of that. By using adaptive fuzzy, it may help in a better understanding of other agents' behavior. Thus, improve the agent itself in terms of skills on negotiation.