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Heat Map

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 ‣ Heat Map

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 Heat Map”)
  • Icons for selecting or displaying the visualization type
  • Optional additional icons (e.g. CO₂ context)
  • Time filter dropdown (e.g. “This month”)
  • Action icons:
    • Play
    • Change order (up/down)
    • Fullscreen
    • Three-dot menu
  • Visualization area:
  • Grid-based heat map
  • Horizontal axis:
    • Hours of the day (00–23)
  • Vertical axis:
    • Calendar days within the selected time range
  • Rectangular cells for each combination of day and hour
  • Color scale with graduated color tones representing relative intensities
  • Color transitions occur continuously across the time axes
  • Scrollbar on the right-hand side for vertical navigation over longer time ranges
  • Scale and reference area:
  • Color scale bar below the heat map
  • Display of minimum and maximum values of the shown scale
  • Dynamic highlighting of individual cells on hover
  • Control area below the widget:
  • Selection of the displayed metric (e.g. Energy)
  • Unit selection (e.g. kilowatt-hours (kWh))
  • Time resolution (e.g. Hourly)
  • Display of the active data source:
    • Color indicator
    • Label
    • Toggle to enable or disable
    • Three-dot menu

Typical Use Cases in Utility Metering and Energy Management

  • Analysis of daily and hourly consumption patterns
  • Identification of peak loads and base load periods in energy consumption
  • Detection of recurring patterns such as:
  • Operating hours
  • Weekend or holiday effects
  • Shift or usage profiles
  • Support for optimizing:
  • Operating times of equipment and systems
  • Energy usage during off-peak periods
  • Basis for measures related to load shifting and efficiency improvement
  • Rapid visual identification of deviations or unusual consumption behavior over time