Jun Qi^1,*, Chao Yang², Xinliu Wang², Junyou Yang¹, Haixin Wang¹, Huaqin Chen^2,3, Zhenyan Li³

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076511 - 09 April 2026

Abstract With the diversification of electricity trading forms driven by distributed energy technologies, the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+ tree indexes in terms of query efficiency and storage costs. This paper proposes a sliding window-based learned index construction method (SW-LI). The method consists of two key components. First, block timestamp–height samples are selected using a sliding window and used to train a linear regression model that captures the timestamp-to-height mapping. Second, an adaptive window adjustment mechanism is introduced: when the prediction error within a window exceeds a threshold,… More >

Yu Shen¹, Yi Liu¹, Hanchen Zhang², Liuyang Li^3,4, Kaiming Pan⁵, Qinghe Fang^2,*

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.072871 - 31 March 2026

Abstract This study presents a systematic numerical analysis of wind loads on offshore photovoltaic (PV) panels. A computational fluid dynamics (CFD) model, incorporating a free-surface wave boundary condition, is developed and validated against experimental data. Parametric investigations quantify the effects of wind speed, panel tilt angle, clearance, and wave characteristics on the aerodynamic coefficients (drag, lift, and moment). Results indicate that all force coefficients increase with wind speed, with the lift coefficient being most sensitive to wave action. While a larger tilt angle intensifies airflow disturbance and amplifies the coefficients, this effect is more pronounced over More >

Yajuan Lu^*, Yongtao Hu, Jie Li, Jinping Zhang, Jingjing Si

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.071110 - 31 March 2026

Abstract To address challenges in wind turbine blade defect detection models, primarily due to insufficient feature extraction capabilities and the difficulty of deploying models on drone-type edge devices, this study proposes a wind turbine blade defect detection model, WtCS-YOLO11, that incorporates multiscale feature extraction and an attention mechanism. Firstly, the cross-stage partial with two kernels and a wavelet convolution module (C3k2_WTConv) is proposed by introducing wavelet convolution into the module. The cross-stage partial with two kernels (C3k2) module in the necking network is replaced with the C3k2_WTConv module to increase the model’s receptive field, enable multiscale… More >

Yong Wu¹, Zhen Fang¹, Bing Wang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.073369 - 31 March 2026

Abstract In wind tunnel experiments, support devices inevitably disturb the surrounding flow field, thereby degrading the accuracy of measured aerodynamic data. A new subsonic and transonic wind tunnel has recently been constructed, and the support system for dynamic six degree of freedom experiments is currently under conceptual design. A key challenge is to optimize the support configuration while satisfying stringent flow quality requirements. In this study, the influence of different support configurations on the flow field is investigated numerically by analyzing velocity and pressure distributions. The results show that the optimized six degree of freedom support… More >

Boyi Cui^1,2, Kai Long^1,*, Ayesha Saeed¹, Nianzhi Guo¹, Guangxing Wu¹, Hui Zhang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078151 - 30 March 2026

Abstract Lattice-type ultra-tall wind turbine towers are popular in China for their modular benefits in fabrication, transportation, and installation. Nonetheless, their conceptual design remains predominantly dependent on engineering experience, and a generally applicable approach is still absent. This study proposes a self-similar modular topology optimization framework for lattice-type wind turbine support structures and develops software for its application. A minimum weighted compliance formulation with a prescribed volume fraction is developed utilizing the variable density approach, wherein modular constraints and their corresponding sensitivity expressions are explicitly included. The method is applied to a reference wind turbine model More >

Sanjit Brahma^*, Ranjay Das

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.075245 - 27 March 2026

Abstract A wind-turbine power system is often challenged by voltage instability, reactive power imbalance, and limited fault ride-through capability under grid disturbances. Doubly Fed Induction Generator based wind farms, owing to their partial coupling with the grid, are particularly vulnerable to voltage dips and excessive reactive power absorption during fault events. This study proposes an adaptive control strategy based on Model Reference Adaptive Control integrated with stator flux-oriented vector control to regulate active and reactive power of a DFIG-based wind farm connected to a standard IEEE 9-bus power system under fault conditions. The proposed control scheme… More > Graphic Abstract

Zhixiang Zhang¹, Chao Luo², Chen Zhang^1,*, Zheng Li¹, Yihua Zhu², Xu Cai¹

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.072678 - 27 March 2026

Abstract Fatigue loads on wind turbines are critical factors that significantly influence operational lifespan and reliability. The passive yaw control of wind turbines often fails to capture the dynamic gradient changes of wind speed and direction in the wind field, leading to an increased risk of load overload, severely affecting operational lifespan and reducing power generation efficiency. This impact is even more pronounced during the passage of a cold front. To address this issue, this paper proposes an independent variable-pitch control method that optimizes predictions by utilizing the spatiotemporal relationship between pre-observed cold front patterns and… More >

Chunqian Guo^*, Gang Chen

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2025.072184 - 12 March 2026

Abstract Despite the ability of the anonymous communication system The Onion Router (Tor) to obscure the content of communications, prior studies have shown that passive adversaries can still infer the websites visited by users through website fingerprinting (WF) attacks. Conventional WF methodologies demonstrate optimal performance in scenarios involving single-tab browsing. Conventional WF methods achieve optimal performance primarily in scenarios involving single-tab browsing. However, in real-world network environments, users often engage in multi-tab browsing, which generates overlapping traffic patterns from different websites. This overlap has been shown to significantly degrade the performance of classifiers that rely on… More >

Yushe Li^1,#, Peishe Wang^1,#, Suoying He^1,2,*, Chunguan Zhou³, Feiyang Long⁴, Zongjun Long⁴, Maojin Fu⁴, Jinyang Sheng⁴, Zhe Geng⁵, Shuzhen Zhang⁵, Huimin Pang¹, Lin Xia¹, Ghulam Qadir Chaudhary¹, Ming Gao¹

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.2, 2026, DOI:10.32604/fdmp.2026.077360 - 04 March 2026

Abstract This study aims to mitigate crosswind-induced performance degradation in Natural Draft Dry Cooling Towers used in power plants by developing and assessing windbreak configurations that enhance ventilation while minimizing additional airflow resistance. Three novel windbreak designs, namely single-windbreak configuration with curved profile, double-windbreak configuration with curved profile, and double-windbreak configuration with inverted curved profile, are proposed accordingly and evaluated against conventional solutions. Three-dimensional numerical models of a 120 m high NDDCT equipped with these windbreaks, together with a conventional Y-shaped windbreak, are developed for systematic comparison. The results demonstrate that windbreak effectiveness strongly depends on… More > Graphic Abstract

Xuan Ruan¹, Han Yan², Donglin Hu¹, Min Zhang², Ying Li¹, Di Hai¹, Bo Yang^3,*

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.071166 - 27 February 2026

Abstract An optimized volt-ampere reactive (VAR) control framework is proposed for transmission-level power systems to simultaneously mitigate voltage deviations and active-power losses through coordinated control of large-scale wind/solar farms with shunt static var generators (SVGs). The model explicitly represents reactive-power regulation characteristics of doubly-fed wind turbines and PV inverters under real-time meteorological conditions, and quantifies SVG high-speed compensation capability, enabling seamless transition from localized VAR management to a globally coordinated strategy. An enhanced adaptive gain-sharing knowledge optimizer (AGSK-SD) integrates simulated annealing and diversity maintenance to autonomously tune voltage-control actions, renewable source reactive-power set-points, and SVG output.… More >