Key Takeaways
- Catch errors that rule-based systems miss with AI.
- Produce energy production forecasts with high accuracy.
- Kick off predictive maintenance with anomaly detection.
- Get more precise analyses as the data grows.
The energy sector is one of the areas where Big Data generation is most intense. Processing this data manually is impossible — and this is where Artificial Intelligence (AI) comes in.
AI vs. Rule-Based Alarms
Traditional systems work with simple limits. Artificial intelligence, on the other hand, learns the patterns within the data. For example, even if the current is within limits, if there is a deviation from the normal consumption for that hour, AI can flag it as an anomaly. This lets you detect situations that rule-based systems could never catch.
AI-Powered Anomaly Detection
Artificial intelligence learns your consumption behavior. For example, a change in a motor's current characteristic can be diagnosed by AI.
Production and Consumption Forecasting
Forecasting is vital to avoid imbalance costs in energy markets. SolarTools AI models blend historical data and weather forecasts to deliver production and consumption forecasts with high accuracy.
SolarTools' AI Approach
The SolarTools platform uses machine-learning models trained specifically for each facility. As your dataset grows, your system becomes smarter and your savings potential increases.
Frequently Asked Questions
How long do AI models take to learn?
A few weeks of historical data is usually enough for the system to get to know your facility.
Does using AI require additional hardware?
No. Data coming through the SolarTools Gateway is processed by the AI engines on our cloud servers.
What happens in case of a forecasting error?
Our AI models continuously update themselves and the margin of error is minimized.
Explore More
Browse our other solutions and resources to accelerate your energy journey.
AI Destekli Enerji Yönetimini Deneyin