An ensemble detection model using multinomial classification of stochastic gas smart meter data to improve wellbeing monitoring in smart cities

  • Hurst, William
  • Curbelo Montanez, Casimiro Aday
  • Shone, Nathan
  • Al-Jumeily, Dhiya
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Publication date
January 2020
Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Abstract

Fuel poverty has a negative impact on the wellbeing of individuals within a household; affecting not only comfort levels but also increased levels of seasonal mortality. Wellbeing solutions within this sector are moving towards identifying how the needs of people in vulnerable situations can be improved or monitored by means of existing supply networks and public institutions. Therefore, the focus of this research is towards wellbeing monitoring solution, through the analysis of gas smart meter data. Gas smart meters replace the traditional analogue electro-mechanical and diaphragm-based meters that required regular reading. They have received widespread popularity over the last 10 years. This is primarily due to the fact that by using this...

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