Regional Energy Insights: A Personalized Recommender System for Per Capital Consumption Optimization

Authors

  • Muhammad Furqan Khawaja Senior Data Scientist / AI Consultant Author
  • Muhammad Zulkifl Hasan Department of Computer Science, Faculty of Information Technology, University of Central Punjab Lahore Pakistan Author
  • Muhammad Zunnurain Hussain Dept. of Computer Science, Bahria University Lahore Campus Author
  • Nadeem Sarwar Dept. of Computer Science, Bahria University Lahore Campus Author

DOI:

https://doi.org/10.63075/wh847236

Abstract

The examination covers multiple facets of sustainable energy, such as renewable energy sources, energy consumption trends, and advancements in sustainable energy technologies. The data demonstrates significant patterns and changes in the worldwide energy situation during this timeframe, emphasizing the growing significance of renewable energy sources and the implementation of sustainable energy methods. Moreover, it analyzes the obstacles and prospects linked to the shift towards sustainable energy, providing insights into the governmental frameworks, technological breakthroughs, and market dynamics that have influenced the sustainable energy industry in the last twenty years. The abstract is to provide a thorough and all-encompassing view of the worldwide progression of sustainable energy, offering significant insights for researchers, policymakers, and industry stakeholders.

Keywords

Renewable energy, sustainable energy, solar power, wind energy, energy infrastructure

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Published

2025-01-03

How to Cite

Regional Energy Insights: A Personalized Recommender System for Per Capital Consumption Optimization. (2025). Annual Methodological Archive Research Review, 3(1), 55-67. https://doi.org/10.63075/wh847236

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