Economics of Energy Storage using Data Science

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Price: 189.99$

Energy storage is the capture of energy produced at one time for use at a later time to reduce imbalances between energy demand and energy production. What is the course about: The course teaches key parameters of Energy Storage using Data Science. Energy Storage is a valuable energy infrastructure asset that has significant scope for growth. Energy storage is the capture of energy produced at one time for use at a later time to reduce imbalances between energy demand and energy production. Energy storage involves converting energy from forms that are difficult to store to more conveniently or economically storable forms. Parameters such as Energy Capacity, Energy Efficiency, Energy Power Capability and duration, are shown in excel and Python. This is an introductory course, with more videos coming up soon. Who: Senior Research Scientists , part of high-tech projects at the intersection of Academia & Industry.  Doctor of Philosophy (Ph. D.) in Analytics & Mathematical Optimization applied to Energy Investments, and Masters of Engineering (M. Eng.) in Power Systems and Economics. Important: If you have  questions while taking the course  please send a private message. We start from scratch so that you do not need to have done any preparatory work in advance at all.  Just follow what is shown on screen.