Overview
Thanks to advanced Machine Learning and Deep Learning algorithms, Sibyl Solar enables precise and reliable power generation forecasting on multiple time horizons. It allows for easy integration of data from various sources, from weather information to plant-related data, such as hierarchy, lifecycle, and sensor data. Moreover, Sibyl Solar offers customizable and interactive dashboards to monitor and analyze plant performance. Different Key Performance Indicators (KPIs) can be extracted and visualized, allowing for a comprehensive evaluation of the solar plant status and performance. Beyond monitoring and forecasting, Sibyl Solar provides solutions to maximize efficiency of operation and maintenance. Through customized optimization algorithms, Sibyl Solar can address several business objectives: tracker optimization, maintenance planning, and power generation impact to name a few. Finally, Sibyl Solar can be easily deployed in your own AWS environment, enabling further customizations and scaling.
Highlights
- Sibyl Solar’s advanced algorithms and professional sensors empower plant owners and operators to maximize energy production, minimize costs, and improve profitability.
- Sibyl Solar’s customizable and interactive dashboards, complete data visibility and real-time alerts allow owners and operators to closely monitor and maximize plants performances.
- Sibyl Solar’s use of cost-effective AWS native AI ML services allows for fast time to market and significantly reduced costs compared to 3rd party products.
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