AI powered Energy production

Upgrade your energy production, improve availability and performance

Sentians Industrial AI solution for Energy producers is tailored for the Energy production sector, giving you a competitive edge. We have the experience and the industrial AI technology to lower cost and increase revenues and at the same time reduce CO2 emissions.

• Easy to integrate

  • Full functionality

• End to end solution

Predictive Maintenance & Anomaly Detection

Less down time more production

They key to improved availability is to get early warnings. This will reduce unplanned downtime and improve your performance. By discovering anomalies in your data you are given an early warning and can avoid downtime. With predictions you can prevent failures and plan your downtime. Our leading edge AI finds the patterns in your data that has been previously hard to find.

Intelligent control and automation

Increases efficiency in production and decreases CO2

Whether you produce, generate or distribute energy there is a possibility for improving performance using machine learning. By combining e.g. control system data, to external data sources such as power exchanges and weather data it can further improve profitability e.g. produce more power when prices are optimal. It is also possible to Improve energy distribution in district heating networks through improved distribution models.

Production can also be planned longer in advance if connected to better weather models.

Image recognition

Less downtime more production

For household garbage and waste material powered thermal plants identifying outsized and non-combustible material can help avoid downtime. Using the latest in image recognition we train the AI to identify garbage that should be removed before entering the furnace.

Weather models

Better predictions

We can’t give you better weather but we can get you better planning. Combining the forecast with the market data can improve the profitability of power plants, district heating as well as windpower.

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