Results 191 to 200 of about 98,087 (266)

Smart Charging With Hourly Pricing as Policy Intervention: Reducing Costs and Grid Congestion for Promoting Electric Vehicles in Developing Countries

Energy Science &Engineering, EarlyView.
Smart charging with hourly pricing optimizes electric vehicle (EV) charging in developing countries, reducing EV owner costs by 30% and easing grid congestion. Using an agent‐based energy management system, the study shows dynamic pricing effectively shifts charging to off‐peak hours, enhancing grid stability and supporting sustainable EV adoption in ...
Maha Iftikhar, Kashif Imran, Farah Ul Ain, Abdul Kashif Janjua, Rimsha Razaq, Sohail Khan, Arqam Ilyas, Shahbaz Ul Haq, Muhammad Akmal   +8 more
wiley   +1 more source

Effect of Tunnel Ventilation on Hydrogen Dispersion From Leaks in Hydrogen Fuel Cell Trucks

Energy Science &Engineering, EarlyView.
This study investigates hydrogen leakage scenarios involving hydrogen fuel cell trucks within tunnels. Using computational fluid dynamics methods, it explores the distribution characteristics of hydrogen concentrations and the efficiency of ventilation under different forced ventilation conditions. ABSTRACT The widespread adoption of hydrogen fuel cell
Limin Geng, Shiyu Shan, Zongxue Yan, Nan Gao, Dong Huang, Zhao Gao, Xinxin Cao   +6 more
wiley   +1 more source

Transcriptomic changes associated with heat-induced susceptibility in wheat plants to Hessian fly (Diptera: Cecidomyiidae). [PDF]

Front Plant Sci
Zhu L, Maldani M, Subramanyam S, Chen MS, Shi R.   +4 more
europepmc   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Comparison of <i>in vitro</i> antibiotic susceptibility testing of <i>R. typhi</i> using plaque assay and quantitative real-time PCR. [PDF]

Microbiol Spectr
Phuklia W, Padith K, Farris CM, Richards AL, Phommasone K, Mayxay M, Mukaka M, Robinson MT, Newton PN, Day NPJ, Ashley EA.   +10 more
europepmc   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Electrothermal Actuator Performance Analysis via the Moving Least Square Method. [PDF]

Micromachines (Basel)
Gu Y, Liu J, You Z, Wu L, Chen H.
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Some generalized recurrence relations for nonlinear equations by using decomposition technique with application of fractal geometry. [PDF]

MethodsX
Shah FA, Hamdani SR, Tolasa FT, Haider I.   +3 more
europepmc   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

Energy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng, Hui Zhang, Junpeng Li, Baokang Wu, Geng Zhang, Xinrui Wang, Jintao An, Long Chen, Yiming Ma   +8 more
wiley   +1 more source