Grid integration challenges and solution strategies for solar PV systems: a review

M Shafiullah, SD Ahmed, FA Al-Sulaiman - IEEE Access, 2022 - ieeexplore.ieee.org
World leaders and scientists have been putting immense efforts into strengthening energy
security and reducing greenhouse gas (GHG) emissions by meeting growing energy …

An Evaluation of Potential Strategies in Renewable Energy Systems and Their Importance for South Africa—A Review

B Skosana, MW Siti, NT Mbungu, S Kumar, W Mulumba - Energies, 2023 - mdpi.com
The ageing of coal-fired power stations in South Africa has led to regular power outages.
Therefore, the country will need to urgently increase its electricity capacity to meet further …

Energy management of a dual battery energy storage system for electric vehicular application

RB Selvakumar, C Vivekanandan, H Sharma… - Computers and …, 2024 - Elsevier
The advancement of energy vehicles has gained support among automotive firms as
original equipment manufacturers have recently concentrated their efforts on creating …

An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation

I Shafi, H Khan, MS Farooq, IT Diez, Y Miró, JC Galán… - Energies, 2023 - mdpi.com
The precise prediction of power estimates of wind–solar renewable energy sources
becomes challenging due to their intermittent nature and difference in intensity between day …

Robust control of RSOC/Li-ion battery hybrid system based on modeling and active disturbance rejection technology

X Wu, Y Li, Z Gao, Y Xu, J Peng, Z Xia, L Hu, J Hu… - Atmosphere, 2023 - mdpi.com
The application of new energy systems for industrial production to advance air pollution
prevention and control has become an irreversible trend. This development includes hybrid …

Solar Power Generation in Smart Cities Using an Integrated Machine Learning and Statistical Analysis Methods

A Almadhor, K Mallikarjuna, R Rahul… - International Journal …, 2022 - Wiley Online Library
Presently, photovoltaic systems are an essential part of the development of renewable
energy. Due to the inherent dependence of solar energy production on climate variations …

Deep learning based buck-boost converter for PV modules

A Muhammad, A Amin, MA Qureshi, AR Bhatti, MM Ali - Heliyon, 2024 - cell.com
Over the past few years, the use of DC-DC buck-boost converters for Photovoltaic (PV) in
renewable energy applications has increased for better results. One of the main issues with …

Micro-Grid Renewable Energy Integration and Operational Optimization for Smart Grid Applications Using a Deep Learning

H Gangwar, SM Parambil Gangadharan… - Electric Power …, 2023 - Taylor & Francis
The conceptual prediction approaches for solar energy and Photovoltaic energy are
thoroughly reviewed in this work. Employing enhanced gated recurrent units (GRUs) and …

Design of Power Control Circuit for Grid-Connected PV System-Based Neural Network

ONR Al-Jaboury, Z Hamodat… - Journal of Robotics and …, 2024 - journal.umy.ac.id
This research explores the application of neural networks in managing grid-photovoltaic
(PV) systems. this paper aims to improve the performance and reliability of PV systems using …

Machine Learning-Based Fault Diagnosis for Rotating Machinery in Industrial Settings

S Alamanda, SBGT Babu, K Kavita… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
Using a methodical approach that includes data preprocessing, feature engineering, model
selection, and performance assessment, this study investigates the use of this research. We …