Description
The training on machine learning in energy systems focuses on the application of machine learning (ML) to enhance the efficiency and performance of energy systems. It covers essential techniques such as data filtering, analysis methods, and ML-based forecasting to help participants gain a deep understanding of how to leverage AI in energy management. Throughout the course, participants will learn to develop and deploy ML-based forecasting engines capable of predicting energy consumption, optimizing grid performance, and improving energy demand management. The training will provide hands-on experience with integrating real-time data from various sources to ensure accurate predictions and facilitate dynamic decision-making in energy systems. In addition, the course emphasizes predictive maintenance, teaching participants how to implement ML models that can predict equipment failures, minimize downtime, and reduce maintenance costs in energy infrastructure. By exploring the transformative potential of AI and ML, this course prepares participants to harness the power of data-driven insights to innovate and optimize modern energy systems, contributing to greater sustainability and efficiency in the energy sector.
