Metering data processing pipelines
Ingestion, validation and estimation logic for meter data at scale, with gap filling, duplicate detection and a full audit trail so billing and settlement teams can explain every corrected value.
Energy companies sit on enormous volumes of time series data, and very little of it is easy to use. Meter readings, SCADA telemetry, forecasts, market prices and regulatory templates all live in different systems with different granularity. Software can consolidate this data, monitor assets and turn reporting obligations into a repeatable process.
What this kind of automation can achieve
The challenges
Readings arrive from smart meters, manual reads and third-party data hubs in different intervals and formats. Gaps, duplicates and clock drift are common, and correcting them before billing or settlement is a monthly manual exercise.
Transformers, substations, turbines and inverters generate telemetry, but alerts are usually threshold-based. Slow degradation goes unnoticed until an outage, and the historical data needed to spot the pattern sits in an archive nobody queries.
National regulators and EU frameworks require recurring submissions in fixed formats. Analysts rebuild the same spreadsheets each period, copying figures between systems, with no audit trail explaining how a number was produced.
Solar and wind output varies with weather, and portfolio positions must be adjusted continuously. Without integrated forecasting and production data, imbalance exposure is discovered after settlement rather than managed during the day.
What can be built
Ingestion, validation and estimation logic for meter data at scale, with gap filling, duplicate detection and a full audit trail so billing and settlement teams can explain every corrected value.
Portfolio and site-level analytics for consumption, load profiles, peak demand and tariff comparison, built for both internal analysts and customer-facing portals where end clients review their own usage.
Real-time and historical views across substations, generation assets and metering points, with anomaly detection that learns normal behavior per asset instead of relying only on static thresholds.
Report generation directly from source systems in the formats regulators require, with versioning, approval steps and traceability from each submitted figure back to the underlying measurements.
Internal assistants that answer questions across grid codes, operating procedures, contracts and maintenance manuals, returning citations so engineers and analysts can verify the source before acting.
Savings potential
These are model estimates of what this kind of automation can do — not measured results from our own projects. We recalculate them on your real volumes and systems before anyone commits to anything.
Contact
Tell us about your project, the bottleneck in your processes, or the legacy system you've outgrown. We're available 24/7 and we reply to messages promptly — with concrete next steps, no obligation and no sales theater.
info@durfinasystems.com +421 918 513 248
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