Results 281 to 290 of about 454,705 (355)
Wind Resource Evaluation With Atmospheric Stability Across Different Surface Types
Energy Science &Engineering, EarlyView.Wind resource evaluation with atmospheric stability across different surface types. ABSTRACT This study investigates the influence of atmospheric stability on wind resource assessment across various surface conditions, focusing on wind shear and prevailing wind direction as key analytical parameters.
Zejia Hua, Wei Tao, Guanjun Wang
wiley +1 more source
Transient Stability Preventive Control of Wind Farm Connected Power System Considering the Uncertainty [PDF]
Yuping Bian, Xiu Hua Wan, Xiaoyu Zhou
openalex +1 more source
Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks
Energy Science &Engineering, EarlyView.This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk +3 more
wiley +1 more source
Sensitivity and feedback of wind-farm induced gravity waves. [PDF]
J Fluid Mech, 2019 Allaerts D, Meyers J.
europepmc +1 more source
Energy Science &Engineering, EarlyView.Small‐signal modeling reveals that insufficient system damping positions conjugate poles near the imaginary axis, fundamentally explaining the SFR mechanism. A virtual resistance control is consequently proposed to damp the resonance and effectively suppress SFR, which is validated through Hardware‐in‐the‐Loop experiments.
Yujie Gu +3 more
wiley +1 more source
On the most suitable sites for wind farm development in Nigeria. [PDF]
Data Brief, 2018 Ayodele TR +3 more
europepmc +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source