PHAROS AI Factory announced the 10th Course of its Training Series, Topic ML: “Time-Series Forecasting and Renewable Energy“, which was held online via Zoom on July 10th, 2026. 

Presentation language: Greek

Audience: ML Engineers, AI Engineers, Data Scientists, Academic Researchers

Learning Objectives:

• Develop and evaluate Machine Learning models for day-ahead solar energy production forecasting. 
• Interpret forecasting results using appropriate performance metrics and validation techniques. 
• Understand the role of accurate renewable energy forecasting in electricity markets and energy system operations. 
• Describe how renewable energy aggregators use forecasting to support market participation and grid stability. 
• Recognize the importance of effective data visualization and user interfaces for communicating forecasting results. 
• Apply best practices for designing end-to-end forecasting pipelines, from data collection to model deployment.

Presentation Material of the Course can be found here.

Watch the Course’s recordings in the dedicated playlist here