Intelligent Energy Management Energy Storage Systems Using Machine Learning

Govindasamy, Chinnaraj and Dayana, T.R Nisha and Adkar, Siddhika Dilip and Prakash, D. Shyam and Gupta, A. Shilpa and Trivedi, Sanjeev Kumar (2024) Intelligent Energy Management Energy Storage Systems Using Machine Learning. In: 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India.

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Abstract

A nevertheless-emerging generation called cloud computing permits customers to pay for services on a usage-based foundation. Internet-primarily based IT offerings are supplied through cloud computing, at the same time as virtualization enables the availability of PC sources. The muse of cloud computing is the information center, which is made up of networked computers, cables, electricity components, and different components that host and shop corporate records. With cloud facts centers, high overall performance has continually been the most critical concern, yet it compromises strength utilization. The key hassle is to lessen power consumption at the same time as preserving provider nice and performance a good way to stability device performance and strength intake. A detailed grasp of strength use styles within the cloud environment is needed for our suggested technique. We look at power consumption tendencies and reveal how, through the use of the right optimization standards based on our strength intake models, we can keep more strength in cloud records facilities. All through the prediction section, tablet optimization, which has a 97 percent accuracy rate, permits this era to provide extra correct future price forecasts.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Machine Learning
Divisions: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 07 Oct 2024 05:47
Last Modified: 07 Oct 2024 05:47
URI: https://ir.vistas.ac.in/id/eprint/9253

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