Willowglen is at the forefront of intelligent industrial data management development. With real-time data, predictive analytics and machine learning capabilities, we have your IIoT automation solved.

From the harsh Canadian North to remote provinces in China, Willowglen’s power generation, distribution and transmission customers take data management to new levels. From remote substations to control rooms, SCADA-embedded advanced algorithms address critical forecasting needs. IIoT Heavy Electrical Load Monitoring/ Shedding targets non-critical loads while sophisticated Transformer Monitoring ensures earlier detection of power outages.

Streamlined Data for Increased Efficiency

To ensure the data is most effectively categorized, summarized and controlled, we incorporate artificial intelligence Machine Learning algorithms. This allows for SCADACOM to streamline the management of very high volumes of incoming data points more efficiently.

Reduced Maintenance

By providing the operations and maintenance team with real-time data, they are able to monitor the end points of distribution networks or even quickly locate sources of power interruptions more efficiently.

Environmental Impact Reductions

The shedding of non-critical loads could prevent the necessity to shed loads to entire neighborhoods and could be used to smooth load profiles, which could contribute to lower cost power consumption and potential green house gases reductions.