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[PDF][PDF] A review on MPPT algorithms for solar PV systems
In past few decades, solar energy plays a vital role in energy production among the different
renewable energy resources. In shaded/unshaded photovoltaic (PV) systems, tracking of …
renewable energy resources. In shaded/unshaded photovoltaic (PV) systems, tracking of …
[PDF][PDF] Brief review on solar photovoltaic parameter estimation of single and double diode model using evolutionary algorithms
In modern years several researchers contribute to renewable energy specifically solar as
atmosphere responsive. Solar panels are an essential and chief constituent for solar energy …
atmosphere responsive. Solar panels are an essential and chief constituent for solar energy …
A day-ahead photovoltaic power prediction via transfer learning and deep neural networks
Climate change and global warming drive many governments and scientists to investigate
new renewable and green energy sources. Special attention is on solar panel technology …
new renewable and green energy sources. Special attention is on solar panel technology …
[PDF][PDF] Discovering the Attractiveness of Hydrogen-Fuelled Gas Turbines in Future Energy Systems
S Bhat - 2023 - researchgate.net
This study examines the competitiveness of hydrogen-fueled gas turbines in future energy
systems, focusing on their potential role in balancing electricity grids with increasing variable …
systems, focusing on their potential role in balancing electricity grids with increasing variable …
Early detection and identification of white spot syndrome in shrimp using an improved deep convolutional neural network
L Ramachandran, V Mohan… - Journal of Intelligent …, 2023 - content.iospress.com
Abstract White Spot Syndrome Virus (WSSV) is a major virus found in shrimp that causes
huge economic loss in shrimp farms. A selective diagnostic approach for WSSV is required …
huge economic loss in shrimp farms. A selective diagnostic approach for WSSV is required …
Elimination of Harmonics in Multilevel Inverter Using Multi‐Group Marine Predator Algorithm‐Based Enhanced RNN
Multilevel inverters (MLI) are becoming more common in different power applications, such
as active filters, elective vehicle drives, and dc power sources. The Multi‐Group Marine …
as active filters, elective vehicle drives, and dc power sources. The Multi‐Group Marine …
Wireless bidirectional power transfer for E-vehicle charging system
S Senthilkumar, M Haidari, G Devi… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
The focus of this study is to develop a bidirectional wireless charging system for E-Vehicles
(EV). The bidirectional DC-DC converter employs the LCC resonant circuit designed …
(EV). The bidirectional DC-DC converter employs the LCC resonant circuit designed …
Hybrid deep models for parallel feature extraction and enhanced emotion state classification
S Pichandi, G Balasubramanian, V Chakrapani - Scientific Reports, 2024 - nature.com
Emotions play a vital role in recognizing a person's thoughts and vary significantly with
stress levels. Emotion and stress classification have gained considerable attention in …
stress levels. Emotion and stress classification have gained considerable attention in …
[PDF][PDF] Optimization of switching angles for selective harmonic elimination in cascaded h-bridge multilevel inverters employing artificial intelligence techniques–a mini …
Considering present shortage of fossil fuels and discharges of ozone harming substances,
power developed from Renewable Energy Sources (RES) is identified as the excellent …
power developed from Renewable Energy Sources (RES) is identified as the excellent …
[PDF][PDF] A brief review of the development path of artificial intelligence and its subfields
The broad discipline of Artificial Intelligence (AI) aims to automate processes that currently
require human intelligence. Understanding intelligence and creating intelligent systems are …
require human intelligence. Understanding intelligence and creating intelligent systems are …