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Multi Line 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 ‣ Multi Line 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 Line Chart”)
  • Subtitle for contextual classification (e.g. “Data source comparison”)
  • Icons for selecting or displaying the visualization type
  • Optional additional icon for CO₂ context
  • Time filter dropdown (e.g. “Today”)
  • Optional toggle for additional features (e.g. “FORECAST (BETA)”)
  • Action icons:
    • Play
    • Change order (up/down)
    • Fullscreen
    • Three-dot menu
  • Visualization area:
  • Line chart with multiple lines displayed simultaneously
  • Each line represents a separate data source
  • Horizontal axis:
    • Time axis with fine temporal resolution
  • Vertical axis:
    • Shared scale for all displayed lines
  • Distinct colors for clear differentiation between lines
  • Lines are plotted in parallel within the same coordinate system
  • Control area below the chart:
  • Selection of the displayed metric (e.g. Energy)
  • Unit selection (e.g. kilowatt-hours (kWh))
  • Statistics or aggregation selection
  • List of active data sources:
    • Color indicator per line
    • Label of the respective source
    • Toggle to show or hide individual lines
    • Three-dot menu per data source

Typical Use Cases in Utility Metering and Energy Management

  • Parallel comparison of energy consumption trends across multiple areas, assets, or hierarchy levels
  • Analysis of differences in consumption behavior between organizational units
  • Identification of:
  • parallel load profiles
  • temporal shifts
  • different response patterns to operating conditions
  • Support for root-cause analysis of peak loads
  • Evaluation of efficiency across individual areas in direct comparison
  • Use for detailed analyses by energy managers
  • Basis for optimization measures at the level of individual consumers or production lines