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Durham e-Theses
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A data driven domestic simulator based on smart meter data.

GONZALEZ-TRAPERO, KAREN,YADIRA (2020) A data driven domestic simulator based on smart meter data. Masters thesis, Durham University.

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According to the Climate Change Act, one of the United Kingdom's Government goals by 2050 is reducing the carbon emissions by at least 100 percent as compared to the levels in 1990. Since the introduction of Smart Meters to households a few experiments have taken place in many parts of the world, including the United Kingdom. In 2014 an energy company named Northern Power Grid along with other partners, included Durham University, concluded a Smart Grid Project demonstration that involved Smart Meters: The Customer-Led Network Revolution project (CLNR). The CLNR Project generated smart meters data from thousands of real domestic customers. The purpose of this work is developing an agent-based simulator driven by Smart Meter Data which can help to better understand and manage how electricity is used, stored and delivered. It will be useful as a virtual lab for testing demand-side management and new houses appliances.

Item Type:Thesis (Masters)
Award:Master of Science
Keywords:simulator;clnr;domestic;households;mesa;python;electricity;energy;consumption;energy consumption;domestic simulator;agents;agent-based simulator;data-driven agent-based simulator;appliances;electricity;power demand;power;
Faculty and Department:Faculty of Science > Engineering, Department of
Thesis Date:2020
Copyright:Copyright of this thesis is held by the author
Deposited On:10 Jun 2020 14:07

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