GreenPowerMonitor (GPM), a DNV company, has launched a new tool designed to standardise data across renewable energy assets and improve portfolio management. The Energy Data Tagger addresses inconsistencies in SCADA (Supervisory Control and Data Acquisition) data used to monitor and control renewable plants by converting it into a unified, machine-readable format.
Renewable facilities generate large volumes of data every second, often labelled differently by manufacturers, which can limit automation and analysis. By applying consistent signal naming, Energy Data Tagger turns unstructured data into a standardised dataset. Trained on more than one million signals from solar, wind and battery assets monitored by GPM, the software is now available as a standalone, standard-based tool. It uses Natural Language Processing (NLP) to automatically classify signals and asset names, with accuracy improving as more data is processed.
The tool combines a structured taxonomy with AI-based classification across solar, wind and battery systems. It supports automatic or semi-automatic labelling of incoming data and enables more efficient analysis, real-time monitoring and comparison of site data across portfolios.
