Application of ANN for prediction of settlement of ring foundation
DC Swarnkar, AK Singh, K Shubham - Signal, Image and Video …, 2024 - Springer
In recent years, artificial neural networks (ANNs) have gained significant popularity in a
variety of engineering fields, with major breakthroughs in addressing geotechnical …
variety of engineering fields, with major breakthroughs in addressing geotechnical …
Enhanced IoT-enabled community microgrid energy management with hybrid COA-HQNN approach with battery degradation consideration
ST Ambujam, B Mallala, P kumar Aggarwal… - Journal of Energy …, 2025 - Elsevier
The incorporation of Internet of Things (IoT) technology into microgrids has increased the
demand for sophisticated energy management (EM) plans that take operational expenses …
demand for sophisticated energy management (EM) plans that take operational expenses …
An agile solution for enhancing cybersecurity attack detection using deep learning privacy-preservation in IoT-smart city
V Jaganraja, R Srinivasan - Wireless Networks, 2024 - Springer
The rapid evolution of cyber threats in IoT-based smart cities necessitates advanced
detection methods beyond traditional security measures. Existing models lack adaptability to …
detection methods beyond traditional security measures. Existing models lack adaptability to …
Reliability assessment of photovoltaic quasi Z-source inverter through stochastic modeling
Reliable operation of power electronic converters is a critical issue since all power
generation industries involve them. So many stress causing factors such as temperature …
generation industries involve them. So many stress causing factors such as temperature …
A novel power quality-improved high-step-up-gain Luo converter-powered BLDC motor drive with model reference adaptive controller for electric vehicles
A Selvaraj, R Thottungal - Electrical Engineering, 2024 - Springer
This manuscript suggests an advanced high-step-up-gain Luo converter-fed brushless DC
motor (BLDCM) drive for enhancing the power quality by using artificial neural network …
motor (BLDCM) drive for enhancing the power quality by using artificial neural network …
Fault Detection and Fault Location in a Grid‐Connected Microgrid Using Optimized Deep Learning Neural Network
R Karthick, R Saravanan… - … Control Applications and …, 2024 - Wiley Online Library
The significant prevalence of distributed energy resources in microgrids due to their unique
characteristics and activities creates protection issues. This paper introduces fault detection …
characteristics and activities creates protection issues. This paper introduces fault detection …
Research Progress of Photovoltaic Power Prediction Technology Based on Artificial Intelligence Methods.
D Zhou, Y Liu, X Wang, F Wang, Y Jia - Energy Engineering, 2024 - search.ebscohost.com
With the increasing proportion of renewable energy in China's energy structure, among
which photovoltaic power generation is also developing rapidly. As the photovoltaic (PV) …
which photovoltaic power generation is also developing rapidly. As the photovoltaic (PV) …