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.