By integrating data primarily managed by various SCADA systems, the software is aimed to give an access to powerful and concrete insights coming from the data.
Machine learning-based algorithms are responsible for early failure detection, thus enabling predictive maintenance and consequent cost reductions.
Energy production forecasts
Advanced models based on artificial intelligence ensure accurate electricity generation forecasts, increasing the ability to avoid costly under- or over-productions.
Constant insight into spare components in stock along with updated comparison of available offers enables optimization and automation of upcoming orders.
Maintenance work optimization
The combination of energy production and maintenance forecasts empowers you to align O&M with low energy production, assuring the least costly operation.
Turbine downtime reduction
Reduced number of unexpected failures, together with improved inventory management, allow for a decrease in turbine downtime and resulting cut of expenses.
Flexible and simple interface
Interface is designed to be tailored for each actor engaged in the process of wind farm management and to provide an easy access to the most important information.
Compatible architecture of our software lets you integrate any tools that you currently work with into our platform, eliminating the need of using multiple systems.
It's cloud based, meaning there is no installation required! Initial setup of account takes approximately 60 minutes making WindAlly a valuable asset from day one. Integration with on-site SCADA systems takes around one week. As soon as we integrate our models with your SCADA systems, the application will be fully functional.
Decrease of wind turbine downtime cost, optimization of communications and organizations among employees and possible asset lifetime extension.