[HTML][HTML] Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

Comprehensive review on renewable energy sources in Egypt—current status, grid codes and future vision

H Abubakr, JC Vasquez, K Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
The development of the energy sector in Egypt is considered an urgent issue due to the
rapid population rise rate. In particular, renewable energy sources (RESs) applications play …

[HTML][HTML] Computer vision algorithms, remote sensing data fusion techniques, and mapping and navigation tools in the Industry 4.0-based Slovak automotive sector

M Nagy, G Lăzăroiu - Mathematics, 2022 - mdpi.com
The objectives of this paper, and the novelty brought to the topic of the Industry 4.0
manufacturing systems, are related to the integration of computer vision algorithms, remote …

Photovoltaic model parameters identification using Northern Goshawk Optimization algorithm

MA El-Dabah, RA El-Sehiemy, HM Hasanien, B Saad - Energy, 2023 - Elsevier
The massive integration of photovoltaic (PV) systems into electric power grids creates a slew
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …

[HTML][HTML] Industry 4.0 wireless networks and cyber-physical smart manufacturing systems as accelerators of value-added growth in Slovak exports

K Valaskova, M Nagy, S Zabojnik, G Lăzăroiu - Mathematics, 2022 - mdpi.com
Industry 4.0 integrates smart and connected production systems that are pivotal in predicting
and supporting production in real-time, leading to sustainable organizational performance …

Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification

MQ Tran, M Elsisi, MK Liu, VQ Vu, K Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces a new intelligent integration between an IoT platform and deep
learning neural network (DNN) algorithm for the online monitoring of computer numerical …

Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources

AA Abou El-Ela, RA El-Sehiemy, AM Shaheen… - Control engineering …, 2022 - Elsevier
Electricity generation from renewable sources is on the rise. The irregular presence of these
sources increases the frequency variations induced by the load variance. The penetration of …

[HTML][HTML] Gorilla troops optimizer for electrically based single and double-diode models of solar photovoltaic systems

A Ginidi, SM Ghoneim, A Elsayed, R El-Sehiemy… - Sustainability, 2021 - mdpi.com
The extraction of parameters of solar photovoltaic generating systems is a difficult problem
because of the complex nonlinear variables of current-voltage and power-voltage. In this …

[HTML][HTML] Global value chains and industry 4.0 in the context of lean workplaces for enhancing company performance and its comprehension via the digital readiness …

T Kliestik, M Nagy, K Valaskova - Mathematics, 2023 - mdpi.com
Industry 4.0 affects nearly every aspect of life by making it more technologically advanced,
creative, environmentally friendly and ultimately, more interconnected. It also represents the …

Extracting accurate parameters of photovoltaic cell models via elite learning adaptive differential evolution

Z Gu, G Xiong, X Fu, AW Mohamed, MA Al-Betar… - Energy Conversion and …, 2023 - Elsevier
Photovoltaic power generation is becoming increasingly vital as the global call for
environmental protection rises. Establishing an equivalent model for a photovoltaic cell and …