Optimizing energy operations and improving maintenance

Rulex equips energy companies with solutions to seamlessly adapt to the dynamic energy landscape.

From forecasting energy demand to predictive maintenance, anomaly detection, and grid management, Rulex enables energy providers to enhance operational efficiency, reduce costs, and mitigate risks.

WHY RULEX

SOLUTIONS

USE CASES

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WHY RULEX
SOLUTIONS
Use Cases
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Rulex Platform

Why Rulex is different

Accurate technology

Accurate technology

Rulex's technology guarantees predictions with a high level of precision, ensuring timely and accurate decisions. Detecting anomalies in enegry consumption, It enhances overall operational efficiency.

Transparent insights

Transparent insights

Rulex’s native eXplainable AI provides clear rules for identifying key parameters, understanding machine operations, and extracting predictions, functioning as a timely decision support system.

Easy integration

Easy integration

With its inherent flexibility and a range of deployment options, Rulex orchestrates information from numerous production machines while seamlessly integrating into any existing infrastructure or system.

Solutions

What we do for energy providers

Data sources

Energy management

Improving energy consumption predictions with demand forecasting and anomaly detection.

predictive maintenance

Analysing the conditions that lead to malfunctions to proactively prevent breakdowns using XAI technology.

Improved decision-making

Making informed and timely decisions to optimize energy networks.

Data agility

Collecting, preparing, and blending multiple data types from various sources while enhancing data quality.

Output

Energy management

Improving energy consumption predictions with demand forecasting and anomaly detection.

predictive maintenance

Analysing the conditions that lead to malfunctions to proactively prevent breakdowns using XAI technology.

Improved decision-making

Making informed and timely decisions to optimize energy networks.

Data agility

Collecting, preparing, and blending multiple data types from various sources while enhancing data quality.

Energy management and optimization

Unexpected demand surges, weather changes, and global disruptions are only a few factors contributing to the dynamic nature of energy usage. Being able to predict this has become a necessity for effectively responding to the challenges posed by energy consumption.

Rulex provides an advanced energy demand forecasting solution, enabling the implementation of consumption strategies to optimize energy management.

By integrating anomaly detection techniques, Rulex also enables system operators to identify abnormal patterns or unexpected deviations in energy consumption data, improving the precision of predictions.

Preventive and predictive maintenance

Unexpected breakdowns and equipment failures represent a serious problem for energy providers, affecting operations and revenues. Predicting when an infrastructure is likely to fail so that maintenance can be performed just in time has become a crucial asset.

Rulex’s XAI-based predictive maintenance solution can help identify the values of equipment parameters that proceed failures, to enable timely preventive actions to be taken. Our explainable AI algorithm not only predicts when a component is likely to fail but also identifies the underlying reasons.

This in-depth equipment analysis reinforces the root-cause analysis, preventing the recurrence of the problems and improving plant efficiency, resulting in cost savings and enhanced workplace safety.

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Improved decision-making

Making informed and timely decisions is crucial in the constantly changing energy market.

Rulex provides companies with a sophisticated decision support tool called Rule-Based Control (RBC), which, paired with our eXplainable AI algorithm, suggests clear and precise sets of actions for optimizing complex energy networks.

Predictions are generated in real-time, considering both overall energy consumption and the systems’ quality of service in the long run, without the need for extensive historical data or rigorous formulations of the problem.

Whether automated, following validation or human operator adjustments, the changes can be quickly implemented.

Streamlined data orchestration

Energy providers deal with vast amounts of data from various sources, such as sensors, smart meters, and weather forecasts, making it complex to collect and integrate information into a unified view. With the increasing integration of renewable energy sources, such as solar and wind, the complexity of the energy grid is constantly rising.

Rulex Platform can help providers swiftly collect and integrate these multiple data sources, making it possible to efficiently monitor grid performance, balance supply and demand, and prevent outages.

Applying AI technology to a unified view of orchestrated data also enables providers to better understand customer behavior and preferences, and offer personalized services and improved customer support.

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USE CASES

Rulex for the energy sector

Solar panel optimization

Efficiency is crucial for solar panels, whose production involves multiple stages with different plant machines. Altering machine parameters can affect solar panel performance.

Rulex provided a major energy company with an efficient solution to integrate information from production machines, identify key parameters for production quality, and extract predictions from data.

Thanks to Rulex’s native XAI algorithm, more than 100 parameter values were identified to increase panel quality and overall production efficiency.

Anomaly detection

Detecting abnormal energy consumption in production plants can be challenging, especially considering false positives that may arise due to genuine spikes in energy demand or during holiday closures.

Rulex provided a major energy provider with a solution that detects anomalies in the energy consumption of 50 machines based on the correlation between multiple time series.

The solution was able to identify anomalies with hourly granularity, reaching over 90% accuracy in identifying both normal patterns and anomalies.

Energy Trading

Intraday power trading adopts continuous buying and selling methods and requires hourly decisions to be made. Solutions supporting such timely decisions must produce accurate and fast results.

Rulex developed an XAI-based system for an energy provider that outperformed their existing classification methods.

Rulex ranks each possible option and proposes the best alternative, generating optimal buying and selling decisions in minutes, while also providing intelligent feedback on user-supplied strategies through an interactive dashboard.

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Adapt to the dynamic energy landscape

Rulex Platform