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Grouped Column 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 ‣ Grouped Column 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 Grouped Column 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 toggles:
    • FORECAST (BETA)
    • Average
  • Action icons:
    • Play
    • Change order (up/down)
    • Fullscreen
    • Three-dot menu
  • Visualization area:
  • Grouped column chart
  • For each time interval, a group of multiple vertical bars is displayed
  • Each bar within a group represents a separate data source
  • Horizontal axis:
    • Time axis with discrete timestamps or intervals (e.g. hours)
  • Vertical axis:
    • Common scale for all bars
  • Clearly distinguishable colors per data source
  • Bars are positioned side by side, not stacked
  • Control area below the chart:
  • Selection of the displayed metric (e.g. Energy)
  • Unit selection (e.g. kilowatt-hours (kWh))
  • Temporal resolution selection (e.g. Hourly)
  • Statistics or aggregation selection
  • List of active data sources:
    • Color indicator per source
    • Source label
    • Toggle to show or hide individual bar series
    • Three-dot menu per data source

Typical Use Cases in Utility Metering and Energy Management

  • Direct comparison of energy consumption across multiple areas or assets at the same point in time
  • Analysis of differences between organizational units within identical time intervals
  • Identification of:
  • simultaneous load differences,
  • deviations in operational behavior
  • Evaluation of relative energy efficiency across different areas under comparable conditions
  • Support for benchmarking scenarios within a site
  • Suitable for operational analyses where time-aligned comparisons are more important than cumulative trends
  • Commonly used in energy reviews and internal comparative reporting