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Simulating Household Electricity Consumption

Authors:
Mutinta Mwansa
William Hurst
Carl Chalmers
Yuanyuan Shen
Casimiro A. Curbelo Montañez

Keywords: Smart Meters; Profiling; Simulation; Visualisation

Abstract:
The smart grid is an advanced infrastructure that leverages communication technology, data analytics and cloud computing to control the distribution and consumption of energy. Smart grid systems include producers, consumers and actors, to ensure a resource saving and efficient electrical network. Within the smart grid, the smart meter records the consumption of electricity in private homes and businesses accurately. The data generated can be used to provide an insight into social demographics, household behaviour patterns, social clusters, general energy consumption patterns and a variety of value-added services. However, one of the biggest challenges for researchers in this area is the access to smart meter datasets. This is because real world datasets contain sensitive consumer information and, therefore, privacy is a key concern. Therefore, this paper focuses on simulating realistic data collected from the residential smart meter. As such, this paper presents a simulation of a home environment and the data produced. The validity of the data is justified through a visual comparison with a real-world smart meter dataset.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2519-8645

ISBN: 978-1-61208-724-5

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019