Time series analysis for home energy consumption patterns

General
1

Analyzing home energy consumption time-series data from an IoT sensor network in Phoenix Arizona. The goal is HVAC optimization where summers exceed 115F.

Data pipeline:

  • 6 temperature sensors + whole-home energy monitor
    • Readings stored in InfluxDB at 30-second intervals
    • Analysis scripts for pattern detection and forecasting
    • Visualization dashboards for historical trends
      Most interesting findings:
  • Clear inflection point at 105F where energy costs accelerate non-linearly
    • Pre-cooling the house to 73F before 3pm peak pricing saves 15-18%
    • Attic temperature correlates with energy use with 2-hour lag

Anyone else doing energy data analysis at home?

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