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Stacked 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 ‣ Stacked 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 Stacked 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:
  • Stacked column chart
  • For each time interval, one vertical column is displayed
  • Each column consists of multiple stacked segments
  • Each segment represents a separate data source
  • Horizontal axis:
    • Time axis with discrete time intervals (e.g. hours)
  • Vertical axis:
    • Scale representing the total value of the stacked column
  • Clearly distinguishable colors for individual segments within a column
  • The total height of the column corresponds to the sum of all active data sources
  • 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 segment
    • Source label
    • Toggle to show or hide individual segments
    • Three-dot menu per data source

Typical Use Cases in Utility Metering and Energy Management

  • Visualization of total energy consumption per time interval with simultaneous breakdown by areas or assets
  • Analysis of how individual consumers contribute to total consumption over time
  • Identification of time periods with particularly high total load
  • Evaluation of the composition of energy load within specific time windows
  • Support for load analysis and load management
  • Suitable for operational evaluations as well as aggregated management reports
  • Combination of total and structural perspectives within a single visualization