Results 181 to 190 of about 608,462 (300)

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Perioperative immunonutrition intervention on postoperative outcomes among gynaecological cancer patients under enhanced recovery after surgery setting. [PDF]

Support Care Cancer
Ho CY, Daud ZAM, Mohd Yusof BN, Abdul Majid H, Omar J, Mohd Abas MN, Md Hanapiah S.   +6 more
europepmc   +1 more source

Techno‐Economic and Life Cycle Assessment of a Nanofluid‐Based Concentrated PV/T–TEG Hybrid System With Spectral Filtering

Energy Science &Engineering, EarlyView.
A novel cascade nanofluid‐based PV/T–TEG hybrid system (CS4) achieves 81.1% thermal and 18.75% exergy efficiency while cutting CO₂ emissions by 7.8 tons year⁻¹. The system delivers superior energy performance, economic savings, and environmental benefits, offering a sustainable pathway for next‐generation solar energy applications.
Abdelhak Lekbir, Samir Hassani, Saad Mekhilef, Kok Soon Tey, Abdullahi Mohamed Samatar   +4 more
wiley   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

Energy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker, S. M. Rezaul Karim, MD. Shouquat Hossain, Md. Moshaddek Hossain, Md. Monirul Kabir   +4 more
wiley   +1 more source

Atypical El Tor <i>Vibrio cholerae</i> from the second major global seventh-pandemic cholera wave is endemic in Sabah, Malaysia. [PDF]

Microbiol Spectr
Jani J, John JL, Amit LN, Kang DY, Maluda MCM, Jikal M, Boucher YF, Ahmed K.   +7 more
europepmc   +1 more source

Cronyism and capital controls: evidence from Malaysia☆

, 2001
Simon Johnson, Todd Mitton
semanticscholar   +1 more source

Performance Comparison of Monocrystalline, Polycrystalline, Low Concentrated, and Bifacial PV Modules in a Particular Geographic Location of South India

Energy Science &Engineering, EarlyView.
This study aims to conduct a performance comparison of irradiation and temperature on different commercially available PV modules like PPVM, MPVM, LPVM, and BPVM. Here, the TPVM is not considered in the analysis due to its toxic nature. This study has considered the LPVM because researchers have not focused on it due to the higher area requirement for ...
Meenatchi Sundaram Palanisamy, Prince Winston David, Palpandian Murugesan, Praveen Kumar Balachandran, Pravin Murugesan, Muhammad Ammirrul Atiqi Mohd Zainuri   +5 more
wiley   +1 more source

Revealing actinobacterial diversity inhabiting Malaysian Beach Ridges Interspersed with Swales (BRIS) soil : insights from culture-dependent and metagenomic approaches. [PDF]

Int Microbiol
Idris H, Hairi HH, Ahmad A, Danish-Daniel M, Zin NM, Sanderson RA, Raja Yahya MFZ, Majhool AA, Hassan MY, Azman MAZ.   +9 more
europepmc   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

Energy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Khashayar Fardnia, Aydin Qheydarpoor, Hammad Alotaibi   +5 more
wiley   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

Energy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan, Md. Wajed Ali, Md. Feroz Ali, Md. Shafiul Alam, Mohammad Ali, Imil Hamda Imran   +5 more
wiley   +1 more source