Random Forest Empowered Shade and Fault Detection in Photovoltaic Panel

R Mahto, K Sood, N Ruppert - 2023 IEEE 14th Annual …, 2023 - ieeexplore.ieee.org
In recent years, the role of drones in disaster management has garnered substantial
attention due to their ability to respond to a variety of hostile environments effectively …

Predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis

J Olivares, T Depe, K Sood, R Mahto - arXiv preprint arXiv:2412.17828, 2024 - arxiv.org
Drones have become indispensable assets during human-made and natural disasters,
offering damage assessment, aid delivery, and communication restoration capabilities …

Photovoltaic Power Generation Related Physical Quantity Mining Method Based On Historical Time Series Data Analysis

Y Wang, S Liao, N Shen - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
The impact of distributed photovoltaic grid-connected on distribution network security, power
quality and system stability cannot be ignored. In order to better cope with the uncertainty …

A study on Deep Learning-Based Battery Health Estimation for Drone Battery Level Prediction

JH Jang, HJ Lee, MS Lee… - 2024 24th International …, 2024 - ieeexplore.ieee.org
In this research, we study battery health prediction in small drones, which has high
applicability to various environments and can show high versatility through miniaturization …

[PDF][PDF] DEEP REINFORCEMENT LEARNING FOR DYNAMIC SHARDING IN UAV NETWORKS

V Lee - World Journal of Information Technology, 2024 - upubscience.com
This study investigates the application of Deep Reinforcement Learning (DRL) for dynamic
sharding in Unmanned Aerial Vehicle (UAV) networks, addressing the limitations of …