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Pareto Chart

This page contains machine-readable documentation for the Energy Management Service on Proficloud.io.
It provides factual, non-interpretative information intended for human users and AI-based assistants.
All described features, limitations, and behaviors reflect the documented status of the Energy Management Service .

AI Documentation ‣ Energy Management Service ‣ Visualizations ‣ Pareto Chart

On this page

  1. Structure and Visible Elements
  2. Typical Use Cases in Utility Metering and Energy Management

Structure and Visible Elements

  • Widget header with:
  • Widget title (e.g. “Energy Pareto Chart”)
  • Subtitle for contextual classification (e.g. “Ranked by Data Source”)
  • Icons for selecting or displaying the visualization type
  • Optional CO₂ context icon
  • Time filter (e.g. “Today”)
  • Additional button:
    • Threshold to display or adjust a threshold
  • Action icons:
    • Play
    • Change order (up/down)
    • Fullscreen
    • Three-dot menu
  • Visualization area:
  • Combination of a bar chart and a cumulative line
  • Left vertical axis:
    • Absolute value of the selected metric (e.g. energy)
  • Right vertical axis:
    • Cumulative percentage values (0–100%)
  • Horizontal axis:
    • Data sources or consumers
    • Sorted in descending order by their contribution
  • Bars:
    • Represent the absolute contribution of each data source
    • Color-coded by source
  • Cumulative line:
    • Connects points above the bars
    • Shows the accumulated share of total consumption
  • Optional marker:
    • Threshold value (e.g. the 80% rule) to highlight relevant consumers
  • Control area below the chart:
  • Selection of the displayed metric (e.g. Energy)
  • Unit selection (e.g. kilowatt-hours (kWh))
  • Selection of individual data sources:
    • Color indicator
    • Source label
    • Toggle to show or hide
    • Three-dot menu for additional options
  • Display of the cumulative percentage curve as a legend element

Typical Use Cases in Utility Metering and Energy Management

  • Identification of the largest energy consumers within a site or organization
  • Application of the Pareto principle (e.g. the 80/20 rule) to prioritize actions
  • Focus on a small number of dominant consumers with high savings potential
  • Support for:
  • Energy audits
  • Efficiency analyses
  • Investment decisions
  • Transparent communication of consumption hotspots to management and stakeholders
  • Basis for targeted optimization and load-reduction measures