Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 08010 | |
Number of page(s) | 7 | |
Section | Energy Management System | |
DOI | https://doi.org/10.1051/e3sconf/202454008010 | |
Published online | 21 June 2024 |
Framework of Data-Driven Methods to Enhance Renewable Energy in Smart Cities
1 Professor, Civil Engineering, Vivekananda Global University, Jaipur, India
2 Professor, Department of Computer Science and Information Technology, Jain (Deemed to be University), Bangalore, India
3 Assistant Professor, Department of Electronics, Sanskriti University, Mathura, Uttar Pradesh, India
4 Assistant Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Uttar Pradesh, India
* Corresponding Author:k.singh@vgu.ac.in
** a.rengarajan@jainuniversity.ac.in
*** rishisikka.ec@sanskriti.edu.in
**** patelmnnit11@gmail.com
As the quest for intelligent and eco-friendly urban progress gains momentum, the integration of renewable energy resources within smart city infrastructures becomes increasingly pivotal. This comprehensive review article delves into the confluence of data-driven methodologies and renewable energy solutions within the realm of smart cities. We embark on an exploration of the intricate frameworks devised to enhance the efficiency of renewable energy generation, distribution, and meticulous management in these urban ecosystems. By elucidating the multifaceted strategies and techniques underpinning this synergy, we shed light on the transformative potential it holds for the sustainable and intelligent evolution of our cities, paving the way for a greener and smarter urban future.
Key words: Renewable energy / potential / Smart cities / Hydroelectric power plants / artificial intelligence
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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