Our intelligent measurement data management supports a wide range of products and device types. By validating measured values with Artificial Intelligence (Machine Learning), we reduce the workload and avoid expensive invoice corrections.
Whether grid and metering point operators, meter reading services, customer self-reading or electronically available measured values via different connections: powercloud brings measured values from all sources together at a central location and obtains missing values via the best available channel. In the process, measurement value priorities ensure that higher-quality readings have precedence in the event of any discrepancies.
powercloud supports all relevant device types and measurement methods for B2C and B2B as well as complex systems consisting of several devices. Measurement values are stored in the appropriate data structure. RLM and smart meter load profiles, for example, are stored in a database that performs aggregations in the millisecond range - even with billions of values in the database.
powercloud receives and manages all standard load profiles (SLP) and load profiles (RLM / Smart Meter) required for extrapolation and validation. For heat flow (TLP) and gas, historical weather data and temperature forecasts are also available for extrapolation.
In addition to rules, qualities, profiles and priorities, powercloud also uses Artificial Intelligence for the validation of measured values. This not only reduces working time, but also sustainably increases the quality of decisions and data. Therefore, the number of incorrect invoices and necessary invoice corrections will be lowered. This also affects a lower Cost-to-Serve and generates fewer customer complaints.
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“We need fully digitized and automated processes in the background if we want to pass on green electricity to our customers via an app without a profit margin. With its open technology and digital mindset, the powercloud platform offers us the basic technological prerequisite for our business model.”
