Energy production
Track your generation fleet: installed capacity, availability, load factor and production cost per MWh.
Installed capacity (MW)Load factorAvailability
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Utilities · SAP Analytics Cloud
SAP Analytics Cloud templates for Utilities
4 ready-to-use SAC and SAC Planning templates for Utilities — each with the KPIs, dimensions and realistic data your function actually tracks. Import in minutes, or generate a tailored one. No sign-up.
KPIs we cover for Utilities
Consumption (kWh)Peak (MW)Grid losses (%)Interruption rate (SAIDI)CO2 emissionsCollection rateMarginal costEnergy mix
Analysis dimensions
Energy sourceRegionCustomer typeTariff segmentPeriod (peak/off-peak)NetworkSeason
4 Utilities templates
Each opens with a live preview and a one-click download (.xlsx, .csv, .package).
Distribution & billing
Manage distribution: volume distributed, network service quality, collection rate and unpaid bills.
Distributed volumeCollection rateUnpaid bills
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Grid efficiency
Measure efficiency, technical losses and service quality (SAIDI/SAIFI) across the whole grid.
Grid efficiencyTechnical losses %SAIDI/SAIFI
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Energy transition pathway
Drive your transition: renewables share, green capacity added, emissions avoided and net-zero pathway.
Renewables share %Green capacity addedEmissions avoided
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How to model Utilities in SAP Analytics Cloud
A solid Utilities model starts with the right grain. Build your dimensions first (Energy source, Region, Customer type), then add the measures that matter (Consumption (kWh), Peak (MW), Grid losses (%)). The trap is aggregation: amounts and volumes sum, but rates and percentages must use AVERAGE, and stocks or balances must use a LAST exception on the time dimension — otherwise your yearly totals come out wrong.
Set those aggregations once in the Modeler, import your data, and build a Story from the KPIs above. For the full method, see our guides on importing a CSV into SAC and choosing the right aggregation.