id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1160	Harish Morwani	Innovative Energy Prediction using Kolmogorov-Arnold Networks (KAN) and Liquid Neural Networks (LNN) for Smart Grids	2024	7	.pdf	application/pdf	2673	130	41	No. 6s (2024) 74 https://internationalpubls.com Innovative Energy Prediction using Kolmogorov-Arnold Networks (KAN) and Liquid Neural Networks (LNN) for Smart Grids Dr. Harish Morwani1, Dr. Jaimin Jani2, Dr. Parimalkumar Patel3, Prof. Hitendra B. Vaghela4, Prof. Swapna Pawar5, Prof. Kamakshi V. Kaul6 1Associate Professor, Department of Computer Sciences and Engineering, IAR University, Gandhinagar, harish.morwani@iar.ac.in 2Assistant Professor, Computer Engineering Department, Ahmedabad Institute of Technology, Ahmedabad, drjaiminhjani@gmail.com 3I/c Principal, Khyati School of Computer Application, Ahmedabad, patelparimalp@yahoo.com 4Assistant Professor, Electrical Engineering Department, Vishwakarma Government Engineering College, Ahmedabad, hbvaghela@vgecg.ac.in 5Assistant Professor, Mechanical Engineering Department, Vishwakarma Government Engineering College, Ahmedabad, sapawar@vgecg.ac.in 6Assistant Professor, Instrumentation and Control Engineering Department, Vishwakarma Government Engineering College, Ahmedabad, kamakshikaul@vgecg.ac.in Article History: Received: 24-05-2024 Revised: 29-06-2024 Accepted: In this paper, we propose a novel approach for predicting energy consumption in smart grids that combines the strengths of Kolmogorov-Arnold Networks (KANs) and Liquid Neural Networks (LNNs).	cache/cana-1160.pdf	txt/cana-1160.txt