Your
System Control
Sample Use Cases
Artificial Neural Networks
15
reading time: 1 minute
Energy efficiency
Predict energy consumption and optimize your plant's efficiency. Our artificial neural networks allow you to model complex dynamics between equipment and environment that can help to make better decisions for your company and our nature.
Depending on the plant
You know your own energy consumption costs and your equipment. Interactions between equipment and environment determine a high degree of complexity and you know that this inconceivably large number of conditions (weather, switches, pumps, etc.) does not allow for rules for every scenario. Integrate intelligent software that improves your plant configurations towards greater efficiency - thereby also supporting at anomaly detection. savings of up to 40% can be achieved - higher than with rules and heuristics
Control Strategy
Percentage of fine-tuning actions
64%
Power increase
17%
reading time: 1 minute
Maximum Power Point Tracking (MPPT)
Fit with us an adaptive algorithm to your plant's MPP controller and increase effectiveness. We train state-of-the-art algorithms that have shown outstanding performance on historical data as well as real deployments.
WIth the right algorithm and enough data
You know your market and that even small gains in effectiveness of your products or plants can impact your competitiveness and your customer's satisfaction. Gaining such effectiveness in ever complex environments are growing challenges. Our intelligent software agents are able to achieve effectiveness gains despite this complexity and can develop intelligent control strategies for your hardware.