Intelligent condition monitoring of Direct Current (DC) to DC converters requires fault detection that is accurate, reproducible and early enough to act before conventional protection trips. This paper presents a Random Forest (RF) framework that fuses output-voltage, inductor-current and heatsink-temperature measureme...
I. Baranilingesan, Mallula Vijaya Krishna, Hareesh Sita et al.· International journal of ele...· 0 citations
This paper proposes an intelligent control and faultdiagnosis framework based on fog computing for power converters in Distributed Energy System (DES) applications, which combines distributed energy resources, a grid interface, an Energy Storage System (ESS), a sensing unit, a fogcomputing node, an intelligent controll...
E. Parimalasundar· 2026 International Conferenc...· 0 citations
In renewable energy-integrated smart grids, intermittent sources and varying loads introduce several concerns, such as managing the intermittency from sources to connected loads and power quality disturbances from the grid formation level up to a scale where these disturbances can be compensated for by an intelligent p...
E. Parimalasundar· 2026 International Conferenc...· 0 citations
In this work, an intelligent control strategy based on reinforcement learning (RL) is designed for renewable-energyassisted electric vehicle (EV) charging power converters when the source and load vary during operation. The charging architecture combines photovoltaic (PV) generation, wind energy, battery storage, alter...
E. Parimalasundar· 2026 International Conferenc...· 0 citations
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