Smart City Gnosys

Smart city article details

Title	Artificial Intelligence And Machine Learning In Vlsi: Projecting Energy Management Towards Sustainability In Smart Cities
ID_Doc	10414
Authors	Singh B.; Raghav A.
Year	2024
Published	Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time Systems
DOI	http://dx.doi.org/10.4018/979-8-3693-7367-5.ch022
Abstract	The revolution of energy management in Very Large Scale Integration (VLSI) can be realized for lower power and sustainability with Artificial Intelligence (AI) and Machine Learning (ML) as an essential tool to maintain the smart city. Reduction of size is the origin of very- scale integrated (VLSI) technology that permits as usual more complex circuit building and also achieves higher densities in electronics systems. AI and ML machines optimize the performance of these systems resulting in a higher clean energy yield, solving for some or all supporting smart cities with equitable access is touted to be achieved. This chapter focuses on minimizing energy waste, predicting maintenance intervals for critical infrastructures, integrating into smart grids and a more robust renewable energy generation - these are the building blocks of smarter cities that will consume fewer resources while generating increasingly efficient services. © 2025, IGI Global Scientific Publishing. All rights reserved.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
10412	0.978	Chandra S.; Singh B.	Artificial Intelligence And Machine Learning In Digital And Analog Vlsi: Sustainability And Energy Management In Smart Cities	Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen (2025)
35034	0.899	Camacho J.D.J.; Aguirre B.; Ponce P.; Anthony B.; Molina A.	Leveraging Artificial Intelligence To Bolster The Energy Sector In Smart Cities: A Literature Review	Energies, 17, 2 (2024)
36081	0.899	Prasad M.S.C.; Dhanalakshmi M.; Mohan M.; Somasundaram B.; Valarmathi R.; Boopathi S.	Machine Learning-Integrated Sustainable Engineering And Energy Systems: Innovations At The Nexus	Harnessing High-Performance Computing and AI for Environmental Sustainability (2024)
7093	0.894	Castanho G.; Taherdoost H.; Madanchian M.	Ai-Powered Sustainability In Smart Cities	Procedia Computer Science, 258 (2025)
10564	0.894	Ning M.A.	Artificial Intelligence-Driven Decision Support Systems For Sustainable Energy Management In Smart Cities	International Journal of Advanced Computer Science and Applications, 15, 9 (2024)
35996	0.891	Haque A.; Malik A.	Machine Learning In Renewable Energy Systems For Smart Cities	Smart Cities: Power Electronics, Renewable Energy, and Internet of Things (2024)
35986	0.89	Ahmed S.R.; Hussain A.-S.T.; Majeed D.A.; Jghef Y.S.; Tawfeq J.F.; Taha T.A.; Sekhar R.; Solke N.; Ahmed O.K.	Machine Learning For Sustainable Power Systems: Aiot-Optimized Smart-Grid Inverter Systems With Solar Photovoltaics	Lecture Notes in Networks and Systems, 1036 LNNS (2024)
9789	0.887	Lakshumiah A.; Malaiarasan A.; Packianathan R.; Natarajan S.K.; Arumugam G.	Application Of Artificial Intelligence (Ai) Techniques For Green Transportation In Smart City	Lecture Notes in Intelligent Transportation and Infrastructure, Part F64 (2025)
35880	0.884	Kumar, H; Tanweer, S; Agarwal, P; Rao, NS	Machine Learning And Artificial Intelligence Based Energy Efficient Smart Cities : A Concise Survey	JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 46, 3 (2025)
32035	0.879	Mrabet M.; Sliti M.	Integrating Machine Learning For The Sustainable Development Of Smart Cities	Frontiers in Sustainable Cities, 6 (2024)