Framework of Data-Driven Methods to Enhance Renewable Energy in Smart Cities

Autor: Kulhar Kuldeep Singh, Rengarajan A., Sikka Rishi, Kumar Dinesh
Jazyk: English<br />French
Rok vydání: 2024
Předmět:
Zdroj: E3S Web of Conferences, Vol 540, p 08010 (2024)
Druh dokumentu: article
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202454008010
Popis: 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.
Databáze: Directory of Open Access Journals