Analyzing trends in domestic energy consumption

According to research, renewable resources contribute to only 2 % of individual households’ overall energy needs.  Although volumes of data regarding electrical household consumption exist, hurdles remain for developing key insights from this data, resulting in material energy resource misallocations. 

Identifying each appliance’s energy consumption levels at each distribution end-node is a daunting task. The complex challenge is best addressed by applying advanced technology, data mining, and machine learning to achieve targeted resource sustainability.

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