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SEPIA. A simulator for electric power industry agents

doi: 10.1109/37.856179
Over the last several years, a technological convergence-increasing processing power and memory capacities, component software infrastructure developments, and adaptive agent architectures-has made possible the development of a class of simulation and optimization tools that was unimaginable earlier. With careful design, these tools can be easy to use for nonexpert users, and they can provide a level of decision support and insight that can potentially have tremendous impact in terms of problem understanding and performance. This technology is particularly relevant to the electricity enterprise as it undertakes the difficult transition toward deregulation and open competition. Our current work, as realized in SEPIA, constitutes little more than a first step in this context, but we hope it can serve as an initial demonstration of the power of a complex adaptive systems approach for challenging practical applications.
- Honeywell Switzerland
- University of Minnesota Morris United States
- Honeywell Switzerland
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).76 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
