As IT and cloud services platforms need more computing power and storage space, the need for hosting services in data centres grows. On these platforms, there is a higher need for electricity to power IT equipment and keep data centres cool. In recent years, it has become harder to make data centres as efficient as possible without putting the quality of their energy supply at risk. This is because there are more and more places that need to store data. Because of this, many different optimization algorithms that use machine learning to improve power efficiency have been made. This report tries to figure out and rate the different ways researchers use machine learning algorithms to optimise how much energy a data centre uses. It does this by looking at the main ongoing research done between and. This evaluation is meant to help scholars decide which methods to use based on good information. Machine learning is talked about in terms of how it can help improve the power efficiency of data centres. This study suggests that one possible next step is to use a bio-inspired optimization and neural network. This was done so that the parameters could be set.

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