Journal of Advanced Research in Applied Sciences and Engineering Technology, Год журнала: 2024, Номер 49(1), С. 211 - 226
Опубликована: Июль 28, 2024
Various power optimisation strategies were employed to build the customised and cost-effective PZT tile. It is critical for effective generation optimise performance of PZT-based energy harvesting devices. This research compares three well-known techniques: Response Surface Methodology (RSM), Taguchi Method, Machine Learning. (ML) The benefits, constraints, applicability each methodology diverse circumstances are examined give researchers engineers with insights into picking best method their unique applications. According observations, RSM analyses limit input value. In contradiction ML methods can produce an accurate optimised model. only limitation approaches achieves accuracy due data set limit. paper presented comparison review optimization techniques suggested optimization. also includes future scope methods.
Язык: Английский