Enhanced EV Spatial Distribution Estimation for Grid Planning using Neural Architecture Search-Guided Physics-Informed Neural Network and Pufferfish Optimization Algorithm

Electric vehicles (EV) play a vital role in modern transportation, and accurately estimating their spatial distribution is essential for effective grid planning. The utility grid management system will optimize energy utilization while balancing network capacity and develop new infrastructure compon...

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Vydáno v:	2025 7th International Conference on Inventive Material Science and Applications (ICIMA) s. 460 - 466
Hlavní autoři:	Ramkumar, M. Siva, Sivaramkrishnan, M., M, Arun, S, Yashashwini, Al Jawad, Osama Jamal Jamil Abed, Chadge, Rajkumar
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 28.05.2025
Témata:	Accuracy Classification algorithms Distribution functions Electric Vehicle Estimation Graphical models Kalman filters Long short term memory Neural Architecture Search-Guided Physics-Informed Neural Network Neural networks Optimization Planning Pufferfish Optimization Algorithm and Regularized Bias-Aware Ensemble Kalman Filter
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