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Load Duration Curve

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 ‣ Load Duration Curve

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 Load Duration Curve”)
  • 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”)
  • Additional buttons:
    • Full Load %
    • Part Load %
  • Action icons:
    • Play
    • Change order (up/down)
    • Fullscreen
    • Three-dot menu
  • Visualization area:
  • Line chart in the form of a load duration curve
  • Measurement values are not ordered by time, but sorted by magnitude
  • Horizontal axis:
    • Duration or number of time intervals (e.g. hours)
    • Representation of runtime or frequency of specific load levels
  • Vertical axis:
    • Load or energy metric (e.g. power or energy per interval)
  • A continuous curve:
    • Starts at the highest load
    • Decreases monotonically to the lowest load
  • Optional:
    • Highlighting or evaluation of full-load and part-load ranges
  • 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)
  • Selection of the analyzed data source:
    • Color indicator
    • Source label
    • Toggle to show or hide
    • Three-dot menu for additional options

Typical Use Cases in Utility Metering and Energy Management

  • Analysis of load distribution over a defined period
  • Determination of how frequently specific load levels occur
  • Identification of peak loads and their share of total operating time
  • Evaluation of full-load and part-load shares of systems or areas
  • Support for:
  • Energy system sizing
  • Optimization of base and peak loads
  • Load management and demand-side management
  • Decision-making basis for measures to smooth loads or improve efficiency
  • Particularly suitable for strategic energy analyses and long-term optimization