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- aggregation classification "P1".
- aggregation creator B74961.
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- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 2914473.bibtex.
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- aggregation isPartOf urn:isbn:9781467302685.
- aggregation isPartOf urn:issn:1542-1201.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Distributed multi-agent algorithm for residential energy management in smart grids".
- aggregation abstract "Distributed renewable power generators, such as solar cells and wind turbines are difficult to predict, making the demand-supply problem more complex than in the traditional energy production scenario. They also introduce bidirectional energy flows in the low-voltage power grid, possibly causing voltage violations and grid instabilities. In this article we describe a distributed algorithm for residential energy management in smart power grids. This algorithm consists of a market-oriented multi-agent system using virtual energy prices, levels of renewable energy in the real-time production mix, and historical price information, to achieve a shifting of loads to periods with a high production of renewable energy. Evaluations in our smart grid simulator for three scenarios show that the designed algorithm is capable of improving the self consumption of renewable energy in a residential area and reducing the average and peak loads for externally supplied power.".
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