caa a22 4500 463207211 CHVBK 20180405153129.0 cr unu---uuuuu 170326e20071201xx s 000 0 eng 10.1007/s10462-009-9105-x doi (NATIONALLICENCE)springer-10.1007/s10462-009-9105-x Agent-based simulation of electricity markets: a survey of tools [Elektronische Daten] [Zhi Zhou, Wai Chan, Joe Chow] Agent-based simulation has been a popular technique in modeling and analyzing electricity markets in recent years. The main objective of this paper is to study existing agent-based simulation packages for electricity markets. We first provide an overview of electricity markets and briefly introduce the agent-based simulation technique. We then investigate several general-purpose agent-based simulation tools. Next, we review four popular agent-based simulation packages developed for electricity markets and several agent-based simulation models reported in the literature. We compare all the reviewed packages and models and identify their common features and design issues. Based on the study, we describe an agent-based simulation framework for electricity markets to facilitate the development of future models for electricity markets. Springer Science+Business Media B.V., 2009 Agent-based simulation nationallicence Electricity market nationallicence Swarm intelligence nationallicence Artificial life nationallicence Adaptation nationallicence Zhou Zhi Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut Chan Wai Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut Chow Joe Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut Artificial Intelligence Review Springer Netherlands 28/4(2007-12-01), 305-342 0269-2821 28:4<305 2007 28 10462 https://doi.org/10.1007/s10462-009-9105-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-009-9105-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhou Zhi Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut NATIONALLICENCE 700 1- Chan Wai Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut NATIONALLICENCE 700 1- Chow Joe Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 28/4(2007-12-01), 305-342 0269-2821 28:4<305 2007 28 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer