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This project is Master thesis research conducted at ENEA Portici Research Center, Italy. The data is obtained from the HPC CRESCO6 cluster at ENEA Portici Research Center. The aim is to identify energy consuming areas within the data center. In this project, real-time dataset from ENEA Portici Research Center is used. There are several techniques implemented including big data analytics and AI technology.

License: GNU General Public License v3.0

Jupyter Notebook 100.00%
bigdataanalytics data-visualization deep-learning deep-neural-networks descriptive-analysis exploratory-data-analysis inferential-statistical-analyses machine-learning-classification python data-science

real-time_data_center_energy_management's Introduction

Hi there ๐Ÿ‘‹

  • ๐Ÿ‘ฉ Iโ€™m Wania Khan (She/her)
  • ๐Ÿ‘€ Iโ€™m tech enthusiast and Machine Learning researcher. Recently completed my Masters in Green Networking and Cloud Computing.
  • ๐ŸŒฑ I have strong expertise in data analytics, data visualization and data modelling. I have done quite many projects which I consider can help other students or data enthusiasts like me ๐Ÿ™‚
  • ๐Ÿ’ป I am expert in python prgramming but I also have a good grip in C++, Java and SQL.
  • ๐Ÿ’ž๏ธ Are you interested in data science and machine learning? check out my repositories.
  • ๐Ÿ“ซ Reach out to me on my linkedin account - link given in the profile section.

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real-time_data_center_energy_management's Issues

Utilization of the dataset?

Hi,

I am a researcher from the National University of Singapore. Your project is excellent. I saw the dataset is very detailed and suitable for further study. May I know if it is possible to apply for the utilization of the dataset?

Thank you.

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