Human-machine teamwork maximizes resources
As monitoring networks expand and collected data grows exponentially, manual data validation becomes impossibly time-consuming.
Affirm that quality data supports your operations and forecasts.
KISTERS automated data validation portal app directs users to specific time series & monitoring stations that need attention.
Algorithms and machine-learning models screen and cleanse data faster — and with fewer errors.
Improve generation forecasts with complete and correct hydromet measurements.
Key features
Address questions about
Are data values present?
Data Consistency
Quickly identify data gaps. Know when a sensor fails to transmit data. Then triage maintenance and repair needs. Know which sensors or monitoring sites need immediate attention.
Are data values plausible?
Data Validation
Instantly identify if data values are plausible using time series, statistical values or physical constraints from neighboring monitoring stations.
Other references for plausibility include satellite data or
radar-derived precipitation estimates.
Can I fill data gaps or replace implausible values?
Data Estimation
Easily replace missing data or low-quality data with plausible data values from neighboring sensors.
Alternatively, fill with data derived from a variety of interpolation methods or reconstructed from models.
In addition to smoothing noise, remove extreme spikes & outliers.
