Bo Hu
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View article: Dual-Objective Optimization of Port Tugboat Scheduling with Heterogeneous Service Capabilities
Dual-Objective Optimization of Port Tugboat Scheduling with Heterogeneous Service Capabilities Open
As critical hubs in the global supply chain, a port’s competitiveness and sustainability are directly impacted by the efficiency and carbon emissions of its tugboat scheduling. This paper addresses the scheduling optimization of heterogene…
View article: Common drivers of questionable health behaviours identified across 33 countries and five continents
Common drivers of questionable health behaviours identified across 33 countries and five continents Open
The global rise in intentional non-adherence to medical advice and the use of traditional, complementary, and alternative medicine poses a burden on public health and national economies. In a large-scale, preregistered study, we found that…
View article: Additive Manufacturing of Ceramic-Reinforced Inconel 718: Microstructure and Mechanical Characterization
Additive Manufacturing of Ceramic-Reinforced Inconel 718: Microstructure and Mechanical Characterization Open
This study investigates the microstructure and mechanical properties of Inconel 718, a nickel-based alloy, reinforced with ceramic phases via additive manufacturing. Two reinforcement strategies were explored: in situ formation of ceramic …
View article: Scaling Diffusion Transformers Efficiently via $μ$P
Scaling Diffusion Transformers Efficiently via $μ$P Open
Diffusion Transformers have emerged as the foundation for vision generative models, but their scalability is limited by the high cost of hyperparameter (HP) tuning at large scales. Recently, Maximal Update Parametrization ($μ$P) was propos…
View article: Honeycomb sandwich-structured P(VDF-TrFE) membrane enhances bone regeneration through an ultrasonic resonance effect
Honeycomb sandwich-structured P(VDF-TrFE) membrane enhances bone regeneration through an ultrasonic resonance effect Open
View article: Research on Quasi-Elastic–Plastic Optimization of Reinforced Concrete Frame–Shear Wall Structures
Research on Quasi-Elastic–Plastic Optimization of Reinforced Concrete Frame–Shear Wall Structures Open
Precise determination of structural elastic–plastic displacement and component states under rare earthquakes is crucial for structural design. This article proposes a quasi-elastic–plastic optimization method for reinforced concrete struct…
View article: Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization Open
Generalization to novel compound tasks under distribution shift is important for deploying transformer-based language models (LMs). This work investigates Chain-of-Thought (CoT) reasoning as a means to enhance OOD generalization. Through c…
View article: Reliability Evaluation of Integrated Electricity–Water System Based on Multi-State Models of Equipment in Water System
Reliability Evaluation of Integrated Electricity–Water System Based on Multi-State Models of Equipment in Water System Open
The power system and the water system are two important infrastructures of human society that are closely related and interdependent. However, the reliability problems of the power system and water system are becoming more and more promine…
View article: Liquid-based cytological diagnosis of pancreatic neuroendocrine tumors using hyperspectral imaging and deep learning
Liquid-based cytological diagnosis of pancreatic neuroendocrine tumors using hyperspectral imaging and deep learning Open
The incidence of pancreatic neuroendocrine tumors (PanNETs), although uncommon, has recently increased, and they are almost always diagnosed in the late stages due to their indolent clinical manifestations. This study developed a method th…
View article: An Integrated Prediction-Decision Unit Commitment Model Based on Deep Incremental Quantile Neural Networks
An Integrated Prediction-Decision Unit Commitment Model Based on Deep Incremental Quantile Neural Networks Open
Uncertainties and variabilities stemming from renewable energy make accurate prediction challenging, and thus pose significant difficulties for power system operation. This paper proposes an integrated prediction-decision unit commitment (…
View article: Distributionally Robust Joint Chance‐Constrained Coordinated Dispatch for VSC‐MTDC‐Based Integrated Transmission‐Distribution Systems
Distributionally Robust Joint Chance‐Constrained Coordinated Dispatch for VSC‐MTDC‐Based Integrated Transmission‐Distribution Systems Open
The coordination and interconnections of power networks are crucial for power systems dispatch with high‐proportion variable renewable energy (VRE). Recent studies have separately explored the transmission‐distribution system integration a…
View article: Physics-Informed Scenario-Driven Bi-Level Dynamic Planning Method for Hybrid Energy Storage in Regional Power Grids: A Case Study of Qujing
Physics-Informed Scenario-Driven Bi-Level Dynamic Planning Method for Hybrid Energy Storage in Regional Power Grids: A Case Study of Qujing Open
View article: A Fully Analytical Approach for the Real-Time Dynamic Reliability Evaluation of Composite Power Systems with Renewable Energy Sources
A Fully Analytical Approach for the Real-Time Dynamic Reliability Evaluation of Composite Power Systems with Renewable Energy Sources Open
Renewable energy sources (RES) have strong uncertainties, which significantly increase the risks of power imbalance and load shedding in composite power systems. It is thus necessary to evaluate the operational reliability for guiding econ…
View article: Method for Wind–Solar–Load Extreme Scenario Generation Based on an Improved InfoGAN
Method for Wind–Solar–Load Extreme Scenario Generation Based on an Improved InfoGAN Open
In recent years, extreme events have frequently occurred, and the extreme uncertainty of the source-demand side of high-ratio renewable energy systems poses a great challenge to the safe operation of power systems. Accurately generating ex…
View article: Optimization Strategy for an Outage Sequence in Medium- and Low-Voltage Distribution Networks Considering the Importance of Users
Optimization Strategy for an Outage Sequence in Medium- and Low-Voltage Distribution Networks Considering the Importance of Users Open
With the rapid development of distribution networks and increasing demand for electricity, the pressure of power supply for medium- and low-voltage distribution networks (M&LVDNs) is increasingly significant, especially considering the lar…
View article: Parametric Dueling DQN- and DDPG-Based Approach for Optimal Operation of Microgrids
Parametric Dueling DQN- and DDPG-Based Approach for Optimal Operation of Microgrids Open
This study is aimed at addressing the problem of optimizing microgrid operations to improve local renewable energy consumption and ensure the stability of multi-energy systems. Microgrids are localized power systems that integrate distribu…
View article: Optimized operation of integrated electricity‐HCNG systems with distributed hydrogen injecting
Optimized operation of integrated electricity‐HCNG systems with distributed hydrogen injecting Open
Green hydrogen, the cleanest energy carrier, is receiving increased attention in recent years. Transporting hydrogen through a natural gas system (NGS) will significantly promote the use of hydrogen, moreover, hydrogen‐enriched compressed …
View article: Unreliability tracing of power systems with reservoir hydropower based on a temporal recursive model
Unreliability tracing of power systems with reservoir hydropower based on a temporal recursive model Open
Power system unreliability tracing model allocates the system's reliability index to individual components, identifying potential weaknesses. This study expands its scope by considering the impact of storage resources. Unreliable factors l…
View article: Deep Thermal Power Peak Shaving Compensation Considering Operating Costs and Electricity Revenue
Deep Thermal Power Peak Shaving Compensation Considering Operating Costs and Electricity Revenue Open
Unlike traditional methods of electricity generation such as thermal power, renewable energy sources like wind power exhibit characteristics of randomness and volatility, leading to unstable power generation. With the continuous increase i…
View article: Unreliability Tracing of Power Systems with Reservoir Hydropower Based on a Temporal Recursive Model
Unreliability Tracing of Power Systems with Reservoir Hydropower Based on a Temporal Recursive Model Open
Power system unreliability tracing model allocates the system’s reliability index to individual components, identifying potential weaknesses. This study expands its scope by considering the impact of storage resources. Unreliable factors l…
View article: Study on the method of evaluating the failure of stator bar insulation materials based on mechanical damage characteristics
Study on the method of evaluating the failure of stator bar insulation materials based on mechanical damage characteristics Open
The damage impact of mechanical shocks on stator bar insulation is a key factor in high-voltage motor accidents. This study conducted electrical aging acceleration and breakdown experiments on damaged stator insulating materials to underst…
View article: Theoretical and Experimental Study of Active Vibration Control of Rotating Composite Laminated Beams Using Fx-Nlms Algorithm
Theoretical and Experimental Study of Active Vibration Control of Rotating Composite Laminated Beams Using Fx-Nlms Algorithm Open
View article: The Impact of Renewable Energy Pilots on Regional Green Economy: An Empirical Analysis in China
The Impact of Renewable Energy Pilots on Regional Green Economy: An Empirical Analysis in China Open
View article: Power System Reliability Evaluation Based on Sequential Monte Carlo Simulation Considering Multiple Failure Modes of Components
Power System Reliability Evaluation Based on Sequential Monte Carlo Simulation Considering Multiple Failure Modes of Components Open
View article: A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system
A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system Open
When the wind speed changes significantly in a permanent magnet synchronous wind power generation system, the maximum power point cannot be easily determined in a timely manner. This study proposes a maximum power reference signal search m…
View article: Age-of-information-aware PI controller for load frequency control
Age-of-information-aware PI controller for load frequency control Open
Open communication system in modern power systems brings concern about information staleness which may cause power system frequency instability. The information staleness is often characterized by communication delay. However, communicatio…
View article: An efficient analytical approach for operational reliability evaluation of integrated electricity‐heat energy systems with variable wind power
An efficient analytical approach for operational reliability evaluation of integrated electricity‐heat energy systems with variable wind power Open
The increase in wind power penetration leads to the risk of energy supply interruption in integrated electricity‐heat energy systems (IHES). This paper presents an analytical‐based approach for the efficient operational reliability evaluat…
View article: Incorporating public feedback in service restoration for electric distribution networks
Incorporating public feedback in service restoration for electric distribution networks Open
Power outages in urban area carry heavy social and economic costs. Although social cost, especially public sentiment, is concerned by engineers and managers, it has been only qualitatively investigated without a rigorous model in the state…
View article: A hybrid ensemble learning approach for the aging-dependent reliability prediction of power transformers
A hybrid ensemble learning approach for the aging-dependent reliability prediction of power transformers Open
As the most critical equipment for electricity transmission, power transformers (PTs) generally have irreversible insulating degradation, which makes them susceptible to aging breakdowns. Predicting the aging-related failure probability (A…
View article: Pre-disaster transmission maintenance scheduling considering network topology optimization
Pre-disaster transmission maintenance scheduling considering network topology optimization Open
Several devastating experiences with extreme natural disasters demonstrate that improving power system resilience is becoming increasingly important. This paper proposes a pre-disaster transmission maintenance scheduling considering networ…