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Lightweight multi-agent architecture and framework that simplifies the development of applications for different kind of devices.

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Distributed Optimization of Energy Costs in Manufacturing using Multi-Agent System Technology

The paper: "Distributed Optimization of Energy Costs in Manufacturing using Multi-Agent System Technology" was awarded the Best Paper Award at the 2nd International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies. The selection was done based on the original submission, the camera-ready version and the presentation during the conference. The authors were further invited to submit an extended version of their paper to the "International Journal on Advances in Intelligent Systems" (http://www.iariajournals.org/intelligent_systems/index.html).
The submission is due at September the 15th. More information on the Journal Article will be provided soon.

Authors: Tobias Küster, Marco L├╝tzenberger, Daniel Freund, Sahin Albayrak

Abstract: While widely endorsed, the increased provision of electricity from renewable sources comes with the concern that energy supply will not be as reliable in the future as it is today, due to variations in the availability of wind and solar power. However, fluctuations in energy supply also give rise to volatility of the price for short-term energy procurement, and therefore bear the opportunity to save costs through shifting energy consumption to periods of low market prices. In a previous work, we presented an evolution-strategy-based optimization of production schedules with respect to day-ahead energy price predictions, yielding good results, but — being a stochastic optimization — not always arriving at the best solution. In this paper, we extend our framework by agent-based mechanisms for distribution and parallelization of the optimization, to increase scalability and reliability of the approach.

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