A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …

This is the first part of a two-part paper that has arisen from the work of the IEEE Power
Engineering Society's Multi-Agent Systems (MAS) Working Group. Part I of this paper …

In this article, a new metaheuristic optimization algorithm is introduced. This algorithm is
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …

Agent-based modeling and simulation (ABMS) is a new approach to modeling systems
comprised of interacting autonomous agents. ABMS promises to have far-reaching effects …

The availability of accurate day-ahead energy prices forecasts is crucial to achieve a
successful participation to liberalized electricity markets. Moreover, forecasting systems …

The urban household solid waste (HSW) classification and recycling system is a complex
adaptive system (CAS), containing multiple agents and the behaviors between them are …

Multi-agent system (MAS) is one of the most exciting and the fastest growing domains in
agent oriented technology which deals with modeling of autonomous decision making …

This paper presents a new real-time optimal mileage based dispatch (OMD) algorithm for a
generating company (GenCo) responding to the automatic generation control (AGC) …

This paper reports on the use of multi-agent system technology to automate the
management and analysis of SCADA and digital fault recorder (DFR) data. The multi-agent …

The large size of power systems makes behavioral analysis of electricity markets
computationally taxing. Reducing the system into a smaller equivalent, based on congestion …