Credit: Amazon
GreenPowerMonitor (GPM) has launched a new tool to standardize data across renewable energy assets. GPM’s Energy Data Tagger solves issues arising through inconsistent SCADA data, which is used to monitor, control and optimize renewable assets, by converting it into actionable insights.
Renewable energy plants generate thousands of data points every second, but these are largely labelled differently across manufacturers, which greatly limits automation and analytics. Energy Data Tagger solves this by delivering consistent, machine-readable signal naming that turns messy data into a standardized language for renewables. Trained on over one million signals from renewable assets (solar, wind, battery) monitored by GPM, Energy Data Tagger has now matured into a market-ready digital product.
Energy Data Tagger operates as a standalone, standard-driven tool rather than as part of a broader asset management system. The tool automatically classifies signals and asset names using Natural Language Processing, a form of AI that learns and improves over time. Using the vast training dataset, its tagging accuracy improves as it processes new data.
“The ability to standardize and analyze vast volumes of SCADA data is mission critical to the global scaling of clean energy systems and represents a major leap forward in technical innovation,” said Juan Carlos Arévalo, executive VP of GPM.
Energy Data Tagger merges a robust taxonomy with AI-driven classification across solar, wind and battery systems, transforming fragmented data into actionable clarity.
News item from GreenPowerMonitor
