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This study examines energy usage patterns in households using data analytics. It utilizes smart meter data from 5,567 London residences to analyze consumption trends, correlate with ACORN classification, and forecast electricity usage. The research aims to inform sustainable energy solutions and mitigate climate change impacts.

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MaryamAli-2020/Big-Data-Analysis-of-Household-Energy-Consumption-for-Climate-Change-Mitigation

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Big Data Analysis of Household Energy Consumption for Climate Change Mitigation

This study examines energy usage patterns in households using data analytics. It utilizes smart meter data from 5,567 London residences to analyze consumption trends, correlate with ACORN classification, and forecast electricity usage. The research aims to inform sustainable energy solutions and mitigate climate change impacts.

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  • PySpark
  • ETL
  • Data Visualization
  • Decision Making
  • Streamlit

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This study examines energy usage patterns in households using data analytics. It utilizes smart meter data from 5,567 London residences to analyze consumption trends, correlate with ACORN classification, and forecast electricity usage. The research aims to inform sustainable energy solutions and mitigate climate change impacts.

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