Smart City Gnosys

Smart city article details

Title	Framework Of Data-Driven Methods To Enhance Renewable Energy In Smart Cities
ID_Doc	27060
Authors	Kulhar K.S.; Rengarajan A.; Sikka R.; Kumar D.
Year	2024
Published	E3S Web of Conferences, 540
DOI	http://dx.doi.org/10.1051/e3sconf/202454008010
Abstract	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. © The Authors, published by EDP Sciences, 2024.
Author Keywords	Artificial intelligence; Hydroelectric power plants; Potential; Renewable energy; Smart cities

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