Develop a Data Science Approach for Optimizing Energy Consumption


Year : 2025 | Volume : 16 | Issue : 01 | Page : 31-44
    By

    Ashish Singh,

  • Khemchand Shakyawar,

  • Mahima Chouksey,

  • Sanskar Maini,

  1. Assistant Professor, Centre for Artificial Intelligence, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India
  2. Assistant Professor, Centre for Artificial Intelligence, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India
  3. Student, Centre for Artificial Intelligence, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India
  4. Student, Centre for Artificial Intelligence, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India

Abstract

Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims to identify consumption patterns, forecast trends, and develop actionable strategies to enhance energy efficiency. The methodology involves collecting and preprocessing diverse datasets, conducting in-depth exploration of energy usage behaviors, and deploying predictive algorithms to minimize wastage and optimize resource utilization. Additionally, the project incorporates scenario modeling to assess the impact of various energy-saving interventions and policies. The outcomes will not only provide valuable insights for smarter energy management but also align with global sustainability goals by reducing carbon footprints and supporting economic growth. This initiative underscores the transformative potential of data-driven approaches in addressing pressing energy challenges, paving the way for more sustainable and resilient energy systems. It serves as a testament to how technology and data can drive meaningful solutions for global energy demands.

Keywords: Exploratory Data Analysis (EDA), IoT, machine learning (ML), artificial intelligence (AI), optimizing energy consumption, data-driven approaches

[This article belongs to Journal of Computer Technology & Applications (jocta)]

How to cite this article:
Ashish Singh, Khemchand Shakyawar, Mahima Chouksey, Sanskar Maini. Develop a Data Science Approach for Optimizing Energy Consumption. Journal of Computer Technology & Applications. 2024; 16(01):31-44.
How to cite this URL:
Ashish Singh, Khemchand Shakyawar, Mahima Chouksey, Sanskar Maini. Develop a Data Science Approach for Optimizing Energy Consumption. Journal of Computer Technology & Applications. 2024; 16(01):31-44. Available from: https://journals.stmjournals.com/jocta/article=2024/view=191733


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Regular Issue Subscription Review Article
Volume 16
Issue 01
Received 22/11/2024
Accepted 09/12/2024
Published 31/12/2024


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