DataScienceLab (1 of 2) - Water Demand Forecasting with Machine Learning

Learn how you can support your company by leveraging the data in TrendMiner to achieve a more sustainable process

Learn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.

EnergyLab 3

Watch this webinar and learn how you can support your company on the road to sustainability by improving operational efficiency

WaterLab 2

Watch this webinar and learn how you can support your company on the road to water sustainability by improving operational efficiency

WaterLab 1

Watch this webinar and learn how you can support your company on the road to water sustainability by improving asset reliability.

A drop in sulfur recovery could have environmental and regulatory effects, so engineers used TrendMiner to save this solution for the future.

Engineers used TrendMiner to create condition-based monitoring of fouling in a Pygas stripper so they knew the right time to clean.

This petrochemical plant used TrendMiner to create energy balance models and determine when 17 bar steam consumption was excessive.

Engineers used TrendMiner to learn when to clean the aeration elements used in biological wastewater treatment despite a high variance of variables.

Because pumps are such a critical part of the water treatment process, engineers needed a better way to know which pumps were online and which had failed.