A method based on machine learning to help determine the availability of hydrogen energy storage system in hydropower stations
DOI:
https://doi.org/10.54097/7pbdj481Keywords:
machine learning, hydrogen energy storage technologies, hydropower stations, big data.Abstract
Nowadays, the hydrogen energy storage technologies are being developed at a constant speed. The application of this technology in hydropower stations is now being discussed. To determine whether this technology can be used in real hydropower stations to store electrical energy in order to deal with the change of wet seasons and dry seasons in rivers, a function based on machine learning can be used. The program, written in python, uses ‘0’ and ‘1’ to determine whether the system is available. Sets of data of hydropower stations are used to train the model to make it predict the result. The passage introduces the hydrogen energy storage systems, the principle of machine learning and the structure of code.
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