Results 91 to 100 of about 920,111 (198)

Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs

Energy Science &Engineering, EarlyView.
This study explores thermal runaway in lithium‐iron‐phosphate energy storage battery packs through multi‐physics coupling simulation. Thermal runaway evolves from battery cells (experiencing overcharge, bulging, safety valve opening, and gas venting) to battery clusters (a) and propagates within the battery pack (b). Simulation results indicate: stress
Dongliang Guo, Lei Sun, Rong Sun, Jun Jia, Peng Xiao, Hailong Ruan, Xin Jiang   +6 more
wiley   +1 more source

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

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Paying for Health Gains Using Patient Reported Outcome Measures

Health Economics, EarlyView.
ABSTRACT Payments to healthcare providers are often based on the number of patients with a particular diagnosis or treatment with well known limitations. Payment based on health outcomes, a form of pay‐for‐performance, has long been advocated as a possible solution.
Luigi Siciliani, James Gaughan, Nils Gutacker, Hugh Gravelle, Martin Chalkley   +4 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

The Black‐Box of ESG Scores From Rating Agencies: Do They Genuinely Reflect Sustainability Practices, or Are They Disproportionately Shaped by Financial Performance?

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines the environmental, social and governance (ESG) scoring methodologies used by Bloomberg and S&P Global through the lens of Data Envelopment Analysis (DEA). It addresses a notable gap in the literature by identifying the underlying factors that shape ESG scores and providing practical insights for companies seeking to ...
Philipe Balan, Jorge Antunes, Peter Wanke, Yong Tan, Ali Meftah Gerged   +4 more
wiley   +1 more source

Intelligent materials for on‐demand electromagnetic absorption

InfoMat, EarlyView.
This review introduces an innovative “stimulus‐state‐property” paradigm, facilitating a fundamental transition from static to dynamically intelligent electromagnetic wave absorption (EMWA). The key advancement lies in the synergistic integration of external fields with structurally engineered metamaterials and tunable components.
Chongyang Chai, Lin Yang, Haoxu Si, Bo Hao, Yi Zhang, Cuiping Li, Jingwei Zhang, Chunhong Gong   +7 more
wiley   +1 more source

Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]

Quantum Mach Intell
Lim D, Doriguello JF, Rebentrost P.
europepmc   +1 more source

Positive developmental cascades: Strength development reduces support needs in children

JCPP Advances, EarlyView.
Abstract Background Strength development in children across a range of psychiatric diagnoses may reduce needs for mental health, social, and functioning support over time. A strength‐based adjunct to child and adolescent mental health may foster the developmental context most helpful for achieving desired outcomes with positive developmental cascading ...
Melody R. Altschuler, Xiaoran Tong, Punit Shah, Edelyn Verona, Julianne M. Bowling, Robert F. Krueger, Roman Kotov, Jordan H. McAllister, Michaela Voit, Sachina Paudel, Scott C. Leon, Shashwat Kala, John S. Lyons   +12 more
wiley   +1 more source