Results 131 to 140 of about 385 (175)

Economic and Technical Assessment of Wind Potential Using SARIMAX Time Series Models: Wind Speed Forecasting and Analysis

Energy Science &Engineering, EarlyView.
The wind energy potential of Khaf was evaluated for 2025 using 15 years of wind data combined with advanced forecasting models, SARIMAX and Prophet. This integrated framework enables precise estimation of wind power density and optimal turbine selection, paving the way for the efficient and sustainable development of wind farms in the region.
Mohammad Amin Valizadeh, Iman Khorsandi Shamir, Abolfazl Ahmadi, Mojtaba Mirhosseini   +3 more
wiley   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]

Entropy (Basel)
Mortezanejad SAF, Wang R, Mohammad-Djafari A.   +2 more
europepmc   +1 more source

Quantifying Parametric Influence on Cuttings Transport in Deviated Deep Wells Using Global Sensitivity Analysis Methods

Energy Science &Engineering, EarlyView.
Cuttings transport simulation workflow. ABSTRACT Efficient cuttings transport is essential for wellbore stability and minimizing non‐productive time in deviated and horizontal wells. This study applies global sensitivity analysis (GSA) to evaluate the influence of 14 drilling parameters on cuttings transport using WellPlanTM hydraulic simulations ...
Esraa A. Refaie, Said K. El‐Sayed, Ahmed Z. Noah, Mostafa M. Abdelhafiz   +3 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

Particle swarm optimization solution for roll-off control in radiofrequency ablation of liver tumors: Optimal search for PID controller tuning. [PDF]

PLoS One
Faria RM, Rosa SSRF, Nunes GAMA, Santos KS, de Souza RP, Benavides ADI, Alves AKO, da Silva AKA, Rosa MF, Cardoso AAA, Faria SS, Berjano E, da Rocha AF, Dos Santos Í, González-Suárez A.   +14 more
europepmc   +1 more source

Application of High‐Order Direct Flux Reconstruction and Stiffness‐Resilient Time Integration to Simulations of Idealized Atmospheric Flows

International Journal for Numerical Methods in Fluids, EarlyView.
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault, Christopher Subich, Shoyon Panday, Martin Charron, Vincent Magnoux, Valentin Dallerit, Mayya Tokman   +6 more
wiley   +1 more source

Flexible and Reconfigurable OFDM Implementation in DSP Platform for Various Purposes and Applications. [PDF]

Sensors (Basel)
Chronopoulos SK.
europepmc   +1 more source

EVSS‐Based Simulation Techniques for the Viscoelastic Fluids With Pure Polymer Melts Using Three‐Field Approach

International Journal for Numerical Methods in Fluids, EarlyView.
This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
wiley   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

International Journal for Numerical Methods in Fluids, EarlyView.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime, B. Després, M. A. Puscas, C. Fiorini   +3 more
wiley   +1 more source