Besides achieving an optimal scheduling generator, the operation safety of the generator itself needs to be focused on. The development of the virtual visualization of a generator capability curve simulation to visualize the operation condition of a...
(1) Aim: This paper aims to develop a research agenda grounded in the Capability Approach to address the “quality of use” gap emerging from the proliferation of generative AI (GenAI) in education. (2) Method: We conducted a deductive them...
With the increasing integration of new energy into the grid, the level of system inertia has been significantly reduced, posing a severe challenge to frequency stability. Consequently, there is an urgent need for wind turbine generators (WTGs) to act...
More and more distributed generation (DG) and energy storage (ES) devices are being connected to the distribution network (DN). They have the potential of maintaining a stable supply load during failure periods when using islanding operations. Theref...
Ground settlement induced by shield tunnel boring machine (TBM) excavation is a major geotechnical concern in urban tunneling because it may affect the safety of adjacent structures and underground infrastructure. In this study, machine learning mode...
Generative artificial intelligence (GenAI) is increasingly accessible to small and medium-sized enterprises in emerging economies, yet the organisational mechanisms that link GenAI capability to business development outcomes remain insufficiently und...
Due to the increasing number of wind power plants, several countries have modified their grid codes to include specific requirements for the connection of this technology to the power system. One of the requirements is the ride-through fault capabili...
In this paper, an improved online torque compensation strategy considering phase torque-generation capability is proposed to enhance the conventional torque-sharing function (TSF), thus reducing torque ripple for switched reluctance machines (SRMs)....
This study examined the influence of cognitive biases on financial literacy test outcomes across four generational groups: Gen Z, Millennials, Gen X, and Baby Boomers. Using the National Financial Capability Test and an online in silico experiment, w...
Business model design needs to encounter increasing and highly dynamic challenges due to counter-caesural environmental changes. Empirical research on strategic sustainability is expected to provide guidance for needed dynamic transformation and sust...
Generative artificial intelligence (GenAI) is being integrated rapidly across higher education, yet its educational value depends less on adoption intensity than on the institutional conditions through which its use is organized and enacted. This con...
Drawing on dynamic capability theory and upper echelons theory, this study develops a moderated mediation framework that treats green dynamic capabilities as a mediator and top management team (TMT) behavioral integration as a moderator. Empirical te...
In the aftermath of the COVID-19 pandemic, college students have faced various challenges that could negatively impact their critical thinking abilities due to disruptions to education, increased stress and anxiety, less social interaction, and the a...
The rapid advancement of artificial intelligence (AI) offers significant opportunities for innovation, yet its benefits remain unequally distributed, with digitally marginalized groups often left behind. Based on the attention-based view and dynamic...
Some of the major challenges facing micro-grids (MGs) during their connection with the utility grid are maintaining power system stability and reliability. One term that is frequently discussed in literature is the low-voltage ride-through (LVRT) cap...
The rapidly increasing penetration of wind power into sending-side systems makes the wind power curtailment problem more severe. Enhancing the total transfer capability (TTC) of the transmission channel allows more wind power to be delivered to the l...
The development of a preventive control methodology to increase the capacity of voltage sag recovery (Fault Ride Through Capability (FRTC)) of a doubly-fed induction generator (DFIG) connected in an electrical network is presented. This methodology,...
The Shahejie Formation (Fm) in the Bohai Bay Basin is well-known for its substantial conventional resource potential and long-term history of exploration. Shale oil has been confirmed as a sustainable resource following breakthroughs in shale explora...
This study examines the effect of the complementarity between the variable generation resources (VGRs) and the load on the flexibility of the power system. The complementarity may change the ramping capability requirement, and thereby, the flexibilit...
This paper presents a novel type of variable speed wind turbine with a new drive train different from the variable speed wind turbine commonly used nowadays. In this concept, a synchronous generator is directly coupled with the grid, therefore, the w...
Generative artificial intelligence (GenAI) gives tourism small and medium-sized enterprises scalable cognitive and creative support, but access alone does not ensure sustained advantage. This conceptual article asks how firms can realize productivity...
With the proliferation of large-scale grid-connected wind farms, subsynchronous oscillation (SSO) incidents associated with Type-4 wind turbines (WTs) with a permanent magnet synchronous generator (PMSG) have occurred frequently. These incidents have...
In this paper, the Unified Interphase Power Controller (UIPC) is utilized to protect the synchronous generator in case of faults occurring in the transmission system. The UIPC not only maintains the generator’s stability by keeping its load ang...
Based on the actual data of a 300 MW doubly-fed variable speed pumped storage units (DFVSPSUs) in China, the reactive power characteristics of both the stator side and the grid-side converter are analyzed, and the reactive power regulation capability...
The design and cracking of text-based CAPTCHAs are important topics in computer security. This study proposes a method for the style transfer of text-based CAPTCHAs using Generative Adversarial Networks (GANs). First, a curated dataset was used, comb...
In recent decades, skin cancer has emerged as a significant global health concern, demanding timely detection and effective therapeutic interventions. Automated image classification via computational algorithms holds substantial promise in significan...
This paper proposes an adaptive low-voltage ride-through (LVRT) control framework for grid-forming virtual synchronous generators (VSGs) in weak and ultra-weak grids based on feasible-region and fault ride-through limit-boundary analysis. The propose...
This conceptual article responds to the growing need for universities to embed sustainability education within programs to develop graduates capable of addressing complex global challenges. Drawing on the literature relating to education for sustaina...
Financial inclusion is widely promoted as a mechanism for enhancing financial empowerment, yet evidence on how access to formal financial services translates into individual financial competencies remains limited, particularly in emerging market yout...
Recent advances in generative artificial intelligence (Gen AI) enable financial services firms to enhance operational efficiency and foster innovation through human–AI collaboration, yet also pose technical and managerial challenges. Drawing on...
Generative artificial intelligence (GenAI) tools are cheap and easy to obtain, yet small online sellers gain very different amounts from them. We ask why, using a survey of 401 GenAI-using agri-related e-commerce merchants in Shuyang County, Jiangsu,...
The hot deformation behaviors of a Ti46Al2Cr2Nb alloy were investigated at strain rates of 0.001–0.1 s−1 and temperatures of 910–1060 °C. Under given deformation conditions, the activation energy of the TiAl alloy could be estim...
In recent years, the increasing penetration level of wind energy into power systems has brought new issues and challenges. One of the main concerns is the issue of dynamic response capability during outer disturbance conditions, especially the fault-...
In this study, optimal allocation and planning of power generation resources as distributed generation with scheduling capability (DGSC) is presented in a smart environment with the objective of reducing losses and considering enhancing the voltage p...
With the rapid development of the Internet, malicious URL detection has emerged as a critical challenge in the field of cyberspace security. Traditional machine-learning techniques and subsequent deep-learning frameworks have shown limitations in han...
(1) Background: Generative and, increasingly, agentic artificial intelligence (AI) are reshaping how firms create, deliver, and capture value. Yet business model innovation (BMI) research often assumes that humans retain design authority while digita...
As new grid codes have been created to permit the integration of large scale photovoltaic power plants into the transmission system, the enhancement of the local control of the photovoltaic (PV) generators is necessary. Thus, the objective of this pa...
Generative artificial intelligence (GenAI) is rapidly transforming teaching, learning, research, and institutional practices in higher education, increasing the need to understand how university professionals engage with AI technologies in both funct...
This study proposes an evaluation method for variable generation (VG) acceptability with an adequate level of power system flexibility. In this method, a risk index referred to as the ramping capability shortage expectation (RSE) is used to quantify...
Static compensators (STATCOMs) are often used in distribution systems to enhance power quality. There is a need to enhance the performance of STATCOM to optimize its utilization and facilitate the provision of additional ancillary services. This pape...
Landslides constitute major geohazards that threaten human life, property, and ecological environments; it is imperative to acquire their location information accurately and in a timely manner. Interferometric Synthetic Aperture Radar (InSAR) has bee...
This study investigated how Digital Media students judged acceptable and problematic forms of generative artificial intelligence (GenAI) involvement in creative learning. An embedded mixed-methods analysis examined 48 completed and consented baseline...
With the target of carbon peaking and carbon neutrality, renewable energy generation (REG) develops rapidly. The increasing penetration of REG brings along the problems of fluctuation in power flow and the possible abandonment of wind and photovoltai...
The increasing penetration of converter-interfaced renewable generation and the declining share of synchronous generation reduce voltage and frequency support. This paper proposes a grid-forming (GFM) converter capacity ratio estimation method and a...
The generalization capability of the decision-making modules in unmanned ground vehicles (UGVs) is critical for their safe deployment in unseen environments. Prevailing evaluation methods, which rely on aggregated performance over static benchmark se...
In this paper, we propose a knowledge distillation framework specifically designed for semantic segmentation tasks in agricultural scenarios. This framework aims to address several prevalent challenges in smart agriculture, including limited computat...
The new-generation global navigation satellite system (GNSS) demands enhanced satellite autonomy, where high-precision orbit prediction plays a pivotal role. Traditional dynamic models depend heavily on long-term on-orbit observations, making hybrid...
In elderly monitoring or indoor intrusion detection, the recognition of human activity is a key task. Owing to several strengths of Wi-Fi-based devices, including their non-contact and privacy protection, these devices have been widely applied in the...
Generative AI can now perform routine and first-pass knowledge work that has also helped less-experienced employees develop. This creates a leadership problem for servant leadership, which treats follower growth as a constitutive priority. This artic...
The accelerated spread of generative artificial intelligence (GAI) is transforming firm-level production processes and performance outcomes, yet its implications for energy efficiency remain understudied. Using panel data on Chinese listed companies,...
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