Industry-leading software used globally by wind energy professionals to capture the true potential of their investments.
"Normally, I would recommend Breeze to every operational management company but then we would lose the advantage we have on the market at the moment"
- AXEL LEMBKE, HEAD OF WIND OPERATIONS, BayWa r.e.Read more
Breeze is the wind farm management component of Energy Cloud. A cutting-edge specialized software used by owners, operators and investors to monitor, manage, analyze, plan and predict every aspect of their wind farm portfolio.
Monitor production and alarms in real time.
Analyze and compare operational and budget data.
Schedule activities such as tasks, downtime, and maintenance.
Create reports, CSV exports and share data through the API.
Use Breeze on desktop, in control rooms and on mobile.
Identify component failures in wind turbines before they occur.
Breeze is a modern, user-friendly software solution that allows professionals to save time, improve wind turbine performance and efficiency, and enable proactive wind farm management.
Take advantage of a versatile system and pick from a wide range of flexible widgets and dashboards to build custom charts, tables and highly configurable, editable reports.
Compare actual production to targets, observe trends over time and follow up on production, availability, wind speed and more KPIs, to make accurate predictions.
Monitor large and diverse portfolios, receive notifications on critical events and oversee critical information on energy production, data connections, and wind turbines status.
Overview all site activities, schedule O&M tasks and downtimes. Access all information, log comments, assign tasks to colleagues and inform them via automatic email update.
Check out our videos and get a glimpse into how we do things at Greenbyte.
Predict is a potential game-changer for the industry. At Greenbyte, we aim to detect component failures in wind turbines long before they occur using existing SCADA data. In this webinar, Head of research, Dr. Pramod Bangalore presents our approach to solving this difficult problem using large data sets and Artificial Neural Networks. Sign up!
Wed Aug 29
Too busy? See previous webinars here.