Quantitative assessment on fatigue damage induced by wake effect and yaw misalignment for floating offshore wind turbines

T Tao, K Long, T Yang, S Liu, Y Yang, X Guo, M Chen - Ocean Engineering, 2023 - Elsevier
Wake interaction between floating offshore wind turbines (FOWTs) is complex and
necessitates a comprehensive assessment, which is a prerequisite for the yaw misalignment …

Reinforcement learning-based multi-objective differential evolution for wind farm layout optimization

X Yu, Y Lu - Energy, 2023 - Elsevier
Wind farm layout optimization is a challenging issue which demands to discover some trade-
off solutions considering various criteria, such as the power generated and the cost of the …

Overview of the PI (2DoF) algorithm in wind power system optimization and control

B Desalegn, B Tamrat - Frontiers in Energy Research, 2024 - frontiersin.org
Recent research generally reports that the intermittent characteristics of sustainable energy
sources pose great challenges to the efficiency and cost competitiveness of sustainable …

[HTML][HTML] Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization

MH Sulaiman, Z Mustaffa - Cleaner Energy Systems, 2024 - Elsevier
Forecasting wind power generation is crucial for ensuring grid security and the
competitiveness of the power market. This paper presents an innovative approach that …

Wind farm active wake control via concurrent yaw and tip-speed ratio optimization

A Hosseini, DT Cannon, A Vasel-Be-Hagh - Applied Energy, 2025 - Elsevier
Aerodynamic loss, also known as wake loss, is the most significant loss hindering wind
energy from rising beyond its current single-digit percent contribution to global electricity …

An optimization framework for wind farm layout design using CFD-based Kriging model

Z Wang, Y Tu, K Zhang, Z Han, Y Cao, D Zhou - Ocean Engineering, 2024 - Elsevier
Wind farm layout optimization (WFLO) seeks to alleviate the wake loss and maximize wind
farm power output efficiency, and is a crucial process in the design and planning of wind …

Enhanced kepler optimization method for nonlinear multi-dimensional optimal power flow

MH Alqahtani, SZ Almutairi, AM Shaheen, AR Ginidi - Axioms, 2024 - mdpi.com
Multi-Dimensional Optimal Power Flow (MDOPF) is a fundamental task in power systems
engineering aimed at optimizing the operation of electrical networks while considering …

Design and Analysis of Offshore Wind Turbines: Problem Formulation and Optimization Techniques

S Ghaemifard, A Ghannadiasl - Journal of Marine Science and Application, 2024 - Springer
Researchers often explore metaheuristic algorithms for their studies. These algorithms
possess unique features for solving optimization problems and are usually developed on the …

Efficient prediction for Blast Furnace Gas holder level using novel preprocessing techniques and weight correction strategy

Z Li, H Wang, J Qian, Y Cui, Y Fang - Engineering Applications of Artificial …, 2024 - Elsevier
Accurately forecasting the level of Blast Furnace Gas (BFG) holder, managing the balance of
gas supply and demand, strategically allocating BFG brings substantial economic and social …

A novel minute-scale prediction method of incoming wind conditions with limited LiDAR data

H Wang, Y Li, J Yan, W Xiao, S Han, Y Liu - Renewable Energy, 2024 - Elsevier
Accurate incoming wind conditions in future are essential inputs for wind farm wake
optimization control. Nacelle SCADA data is commonly used for wind prediction at present …