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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Praca, I. Morais, H. Ramos, C. Vale, Z.A. |
| Copyright Year | 2009 |
| Description | Author affiliation: GECAD ¿ Knowledge Engineering and Decision-Support Research Group of the Engineering Institute of Porto ¿ Polytechnic Institute of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal (Praca, I.; Morais, H.; Ramos, C.; Vale, Z.A.) |
| Abstract | Competitive electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is an electricity market simulator able to model market players and simulate their operation in the market. As market players are complex entities, having their characteristics and objectives, making their decisions and interacting with other players, a multi-agent architecture is used and proved to be adequate. MASCEM players have learning capabilities and different risk preferences. They are able to refine their strategies according to their past experience (both real and simulated) and considering other agents' behavior. Agents' behavior is also subject to its risk preferences. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 949105 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424422340 |
| DOI | 10.1109/PTC.2009.5281983 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | Romania |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electricity supply industry Contracts Power system simulation Power generation economics Environmental economics Wind energy generation Wind turbines Knowledge engineering Computational modeling Layout Simulation Decision Making Dynamic Strategies Electricity Markets Multi-Agent Systems |
| Content Type | Text |
| Resource Type | Article |
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