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Study plan


Integration of AI and energy in its early stages and their synergy may change the world like we never knew it. AI, has the potential to lower energy costs, cut energy waste and accelerate the use of clean renewable energy sources in power grids. However, the impact of energy consumption on the environment from further greenhouse gas emissions is sure to increase. Therefore, players in the energy-AI industry will need to address this problem. And I want to be one of these players!
Before beginning of the program, I plan to reach a level of Korean language, where I can have simple conversation with the professors and fellow students upon arrival. Also, until September, I plan to firmly anchor the math topics that are used in machine learning. To do so, I have already started Andrew Ng’s Machine learning course, which I found perfect beginning as its covers fundamental concepts of ML as well as going through needed math. In addition to this, I will continue to sharpen my python skills by solving Leetcode problems.

Possible intro:

To process the amount of data necessary to run the smart grid, additional machines and computing power will be needed, and the impact of energy consumption on the environment from further greenhouse gas emissions is sure to increase. Therefore, players in the AI energy grid industry will need to address this problem. And I want to be one of these players!

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