Utilities · Analytics ·

Energy production

Track your generation fleet: installed capacity, availability, load factor and production cost per MWh.

Illustrative preview of the SAP Analytics Cloud dashboard Energy production for the Utilities industry: metrics Installed capacity (MW), Load factor, Availability, Production cost/MWh, analyzed by Plant, Technology, Region.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Installed capacity (MW)
  • Load factor
  • Availability
  • Production cost/MWh

Analysis dimensions

  • Plant
  • Technology
  • Region

About this template

Track your generation fleet: installed capacity, availability, load factor and production cost per MWh. Designed for teams in the Utilities industry, the model pre-wires 4 key metrics — including Installed capacity (MW) and Load factor — analyzable across 3 analysis axes (Plant, Technology, Region). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Energy production into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Utilities industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).

FAQ

What is the "Energy production" template for?

It provides a ready-to-use SAC structure to drive analytics in the Utilities industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: Installed capacity (MW), Load factor, Availability, Production cost/MWh. Each is computed across the dimensions Plant, Technology, Region.

How do I import it into SAP Analytics Cloud?

Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.