Datalab DemoApril 10th, 2017 by
Data Quality Assessment for Load Forecasting
In our previous blogs we have discussed Data Quality and Anomaly Detection. Now we show how this looks in our Datalab environment.
In this Energyworx Datalab Demo, we look at the initial data quality of one account and the steps we take to assess and improve data quality in order to generate a reliable forecast. Specific topics covered include:
– Data Cleansing
– Validation, Estimation, Editing (VEE)
– False Positives
– Data Scoring
Would you like to see how data quality is impacting your organization? Contact us for an exploratory data analysis.