Data Science for Energy Engineers​

This course empowered you to: - Be able to ask better questions about energy data (and answer them), - Understand the industrial context in which these data science algorithms are applied, - Possess practical skills to load, explore, analyse and visualize various energy datasets, - Be able to make energy (demand) forecasts using machine learning models, while also understanding their limitations and how they build on time series and statistical principles, - Know how to optimize the behaviour of energy flexible resources given arbitrary cost functions (ranging from minimizing costs to grid peaks and carbon emissions), - Be able to track your experiments using state-of-the-art tools, - Be able to present the results of your analysis in a manner accessible to both specialists and non-specialists.