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Monthly Product News - October 2023

Updated: May 26

Great news! We've enhanced our neural networks to better predict event relevance, introduced new API endpoints for PDF storage and metric predictions, started refining our notification system to case-based alerts, and are expanding our team to continue elevating your turbine monitoring experience.

Event Notifications Revamped: Introduction of Case-Based Alerts

We have kick-started the Case Notification Project. In a strategic shift to improve your experience, we are modifying our event notification system to now focus on case-based alerts. Previously, individual events would each trigger a separate notification, which could lead to an overwhelming influx of alarms. By consolidating multiple events into cases, you will receive fewer but more meaningful notifications. Events grouped into cases will provide a broader context, making it easier to understand the significance and take appropriate action.

Neural Network improvements: relevance predictions

We now train our ml-relevance neural networks (NN) using an event's length as a feature for predicting the event relevance. Longer events tend to be more relevant and we now take this into account. This has improved the accuracy of the relevance predictions output by the NNs. The predicted relevance allows you to prioritise the events you see so that maintenance schedules and overall turbine efficiency can be optimised.

API: PDF-Storage Endpoints

We've introduced new API endpoints for PDF storage and management. These endpoints facilitate the secure upload and storage of PDF files directly into our database architecture. Simultaneously, we're developing methods to systematically extract textual information from these stored PDFs so that you can spend your time analysing data, not looking for it.


turbit api endpoints documentation
Turbit API

API: Predictions Endpoint

Events are the backbone of Turbit's monitoring system. An event is generated whenever there is a significant mismatch between the actual and simulated values of key metrics. Our API now includes a predictions endpoint which allows access to these actual and simulated values .


GET /v1/plants/{plant_id}/active_instance_predictions/


response body structure


We are hiring more talent

As your expectations of our product grow, so does our commitment to meet and exceed them. In a focused effort to continue delivering value, we're currently expanding our team. Our goal is to ensure that as your needs evolve, so do we.




This is it for now. We are confident these updates will bring significant benefits to your turbine monitoring experience. We're here to support you and are eager to hear your feedback.


Here’s to safer and more efficient turbine operations!


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The AI operating system for renewables

Turbit is an operating system for live wind park AI monitoring. We give operators and asset managers the tools to act as early as possible on abnormal wind turbine behavior patterns regardless of the model and manufacturer. This enables organizations to reap a multitude of benefits, including a massive reduction of operation and maintenance complexity and costs, optimizing power output, asset health, and downtime. Turbit's AI continuously is improving with a growing customer base and failure database. Failure modes and solutions are automatically predicted by AI leading to high scalability and accuracy. Turbit is backed by Vinci Venture Capital to build a next-generation operating system for renewables. 

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