Proposal of a multi-agent system architecture for use in energy management systems

Beretka, Sandor F.; Varga, Ervin

doi:10.1109/telfor.2012.6419538

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…[10] cloud computing is proposed to be the base for MAS deployment, because cloud implementation has great scaling capabilities, and can be leveraged on existing infrastructure with supposedly little changes. Changes in computing capabilities of the cloud are immediately and automatically available to hosted solutions.…”

Section: Multi Agent Systemsmentioning

confidence: 99%

“…1. Macro architecture of MAS [10] every environment is synchronized with the real world using translator adapter, which translates measured values to environments' data structures.…”

Section: Multi Agent Systemsmentioning

confidence: 99%

“…2. Micro architecture of multi-agent system [10] few as possible data structures without losing interoperability and ruining data throughput. From energy management perspective, load profiles and short-term load forecasts are enough for imbalance reduction.…”

Section: Common Modelmentioning

confidence: 99%

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Case study of multi-agent system architecture for use in energy management systems

Beretka

Varga

2013

Eurocon 2013

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In this paper a case study of a multi-agent system architecture is presented focusing on load imbalance reduction in distribution and end-use consumption parts of the power network. Through a case study is shown the effectiveness of using the proposed multi-agent system architecture. This work also reinforces the confidence in multi-agent systems as a promising approach to address the needs of contemporary Energy Management Systems, which are rapidly moving toward distributed and automated solutions.

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Section: Multi Agent Systemsmentioning

confidence: 99%

“…1. Macro architecture of MAS [10] every environment is synchronized with the real world using translator adapter, which translates measured values to environments' data structures.…”

Section: Multi Agent Systemsmentioning

confidence: 99%