Readings become answers: understand consumption and feed-in, directly on the platform.

How much runs through at night? When do the peaks occur? What does the PV system feed in? Every connected metering point brings 15-minute values onto the platform, for consumption as well as feed-in. The answers live where the data arrives: as load profile, patterns, benchmark and verifiable raw values.

Consumption & Load: chart of a meter with markers for base load, average and peak load.

Every view answers a question

Power & Peaks with load duration curve and a table of the highest peaks.

Spot base load and peaks

Power & Peaks shows in the load duration curve how much load is always present and how often it heads towards the peak. The highest quarter-hours sit next to it as a table, with timestamp and value.

Consumption heatmap by weekday and hour with clearly visible business hours.

See the patterns

The Heatmap overlays weekday and hour: business hours, night-time consumption and outliers show up as a pattern at a glance. The Day Profile compares weekdays with the weekend.

Raw data table with a quality level per value, quality distribution and CSV export.

Check values and take them with you

Data shows every quarter-hour as a row: timestamp, OBIS code (the standardised code for the measured quantity), value and quality level. The quality distribution sits next to it as a chart, and the CSV export takes over the selected period.

Values arrive here, answers appear here

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Values arrive daily, carry their quality level and are ready in every view.

Base load & peaks

Load duration curve and top peaks on Power & Peaks

Patterns

Heatmap and Day Profile

Benchmarking

Comparison of consumption data against APCS standard load profiles

Raw data & quality

Every quarter-hour with its quality level

Export

CSV for the selected period

Optional

Your systems

More about integrations →

True in every view:

15-minute values Consumption & feed-in Quality level per value Location view

One meter, one site, or the whole portfolio

You switch the resolution on Consumption & Load between 15 minutes, hourly, daily and monthly, and the period comparison places the previous period, the same period last year or a custom range next to it.

Every question can also be asked for a whole location or customer: the scope picker sums up all metering points of the selected level, and the Overview shows all connected metering points at a glance. You create locations and customers in Portfolio management.

Feed-in metering points, for example of a PV system, flow through the same views: the toggle switches between consumption and feed-in per metering point. Benchmarking compares consumption data against APCS standard load profiles (Austria's reference load profiles for grid settlement, published by APCS) as soon as the location has a building type and the meter a load profile assignment.

Overview, Consumption & Load, Day Profile and Data are included in every plan, plus the advanced analyses with Power & Peaks, Heatmap and Benchmarking. Periods before the connection can be filled by a historical data request, more on that at Smart meter data. And if values should flow into other systems on a schedule, Integrations take over.

Every value carries its quality level

Measured, estimated or unreliable estimate: on the platform the quality level sits on every quarter-hour, and a dedicated chart on Data shows the distribution over the selected period. Grid operators must replace unreliable values with verified readings within 60 days. An analysis can improve retroactively because of this, and you always see what it is based on.

Frequently asked questions

Does this also work for feed-in, for example a PV system?
Yes. Feed-in metering points flow through the same views, and the toggle switches between consumption and feed-in. The analysis applies per metering point: if a meter has separate metering points for consumption and feed-in, you look at each one individually.
Can I export the data?
Yes, as CSV: per row timestamp, OBIS code, value, quality level and granularity, for the selected period. If files should arrive at systems or recipients on a schedule, integrations take care of that.

Energy data made easy

Smart meter consumption data via API, webhook, or CSV for all Austrian grid operators.