Precise yield prediction of crops plays a vital role in food security, proper management of resources and sustainable agriculture. This paper proposes the YieldSense-X, a time-dependent deep learning model that optimally estimates crop yield based on the dynamics of climate and soil. The suggested model combines Long S...
Santhiya S, K. Malarkodi, S. Gomathi· International Conference on...· 0 citations
The wireless electric vehicle (EV) charging system needs the control in order to ensure the efficiency of power transfer, the bidirectional process, and the nonlinear characteristics of the system behavior under the dynamic conditions. The paper is a proposal of a Hybrid Adaptive Control Framework with some potential t...
S. Anupriya, K. Malarkodi, S. Gomathi· International Conference on...· 0 citations
The high pace of electric vehicles (EVs) adoption requires effective and smart energy management mechanisms, especially in bidirectional wireless power transfer (WPT). Conventional rule-based or optimization-based techniques cannot adjust successfully to the changing and stochastic circumstances and result in a subopti...
S. Anupriya, K. Malarkodi, S. Gomathi· International Conference on...· 0 citations
The fast pace of electric vehicle (EV) adoption has increased pressure on effective, consistent, and scalable charging infrastructure. In this paper, I provide a detailed overview of the EV charging system, including charging technologies, station designs, power flow designs, standards, and optimization methods. The mo...
S. Gomathi· International Conference on...· 0 citations
Proper prediction of photovoltaic (PV) power output is essential in ensuring the successful incorporation of solar energy in the smart grid systems and energy management systems. Current single-algorithm models are often ineffective to represent the compound non-linear interactions between meteorological variables, tim...
S. Gomathi· International Conference on...· 0 citations
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