Results 241 to 250 of about 322,109 (297)

Optimal Parameter Extraction of Three‐Diode Photovoltaic Model Using the Hybrid Golden Jackal Optimizer With Fitness Distance Balance Mechanism and Berndt‐Hall‐Hall‐Hausman Method

Energy Science &Engineering, EarlyView.
Optimal parameter extraction of three‐diode photovoltaic model using the hybrid golden jackal optimizer with fitness distance balance mechanism and Berndt‐Hall‐Hall‐Hausman method. ABSTRACT Accurate simulation and operation of photovoltaic (PV) systems depend on reliable extraction of model parameters from experimental data.
Muthuramalingam Lakshmanan, Chandrasekaran Kumar, Manoharan Premkumar, Ravichandran Sowmya   +3 more
wiley   +1 more source

Elective intraperitoneal procedures do not adversely impact paediatric ventriculoperitoneal shunt survival: 10-year retrospective cohort study. [PDF]

Childs Nerv Syst
Hoy T, Harbison AM, Campbell RAJ, Coulthard LG, Colbran RE, Stuart MJ.   +5 more
europepmc   +1 more source

Safety and efficacy of interventional embolization in cirrhotic patients with refractory hepatic encephalopathy associated with spontaneous portosystemic shunts [PDF]

Qiao Ke, Jian He, Linsheng Cai, Xiao-Juan Lei, Xinhui Huang, Ling Li, Jingfeng Liu, Wuhua Guo   +7 more
openalex   +1 more source

AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions

Energy Science &Engineering, EarlyView.
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid, Hafiz Mudassir Munir, Mohammad Adeel, Fares Suliaman Alromithy, Mohammad R. Altimania, Ievgen Zaitsev   +5 more
wiley   +1 more source

Amorphous silicon resistors enable smaller pixels in photovoltaic retinal prosthesis. [PDF]

J Neural Eng
Shin A, Jensen N, Butt E, An J, Pham-Howard D, Galambos L, Mathieson K, Kamins T, Palanker D.   +8 more
europepmc   +1 more source

Deep Learning‐Based Fault Classification in Extra High Voltage Transmission Lines: A Comparative Study Using Simulated and Real‐Time Sequential Data

Energy Science &Engineering, EarlyView.
This study describes the performance of BiLSTM, GRU, and TCN as deep learning models for the detection and classification of faults in transmission lines through synthetic and real‐time sequential datasets of 500 kV transmission line between Jamshoro and Karachi (NKI), in Sindh, Pakistan.
Nadeem Ahmed Tunio, Ashfaq Ahmed Hashmani, Fatima Tul Zuhra, Mohammad R. Altimania, Hafiz Mudassir Munir, Ievgen Zaitsev   +5 more
wiley   +1 more source

Computational Study of Tesla Valve Design for Vesico-Amniotic Shunt to Manage Lower Urinary Tract Obstruction and Pleural Effusion. [PDF]

Bioengineering (Basel)
Nakirekanti S, Sarkonda VC, Dong J, Shi D, Alsaghir AM, Bahk JH, Forde B.   +6 more
europepmc   +1 more source

The use of negative capacitances in piezoelectric resonant shunt

, 2019
Marta Berardengo, Stefano Manzoni, Owen Thomas, Marcello Vanali   +3 more
openalex   +1 more source

Modeling Solar PV Efficiency: Machine Learning‐Enhanced Algorithms for Diode Model Parameter Extraction

Energy Science &Engineering, EarlyView.
ABSTRACT Solar photovoltaic (PV) systems can be significantly enhanced through the use of accurate solar cell models. Unfortunately, the absence of precise parameters from manufacturers limits the accuracy of these models. Given the impossibility of reliable modeling without such parameters, this paper introduces a multi‐objective optimization ...
Manish Kumar Singla, Muhammed Ali S.A., Mohammad Aljaidi, Jyoti Gupta, Ramesh Kumar, EI‐Sayed M. EI‐Kenawy, Amal H. Alharbi   +6 more
wiley   +1 more source