Jiaqiang Yang
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View article: Daily Peak Load Prediction Method Based on XGBoost and MLR
Daily Peak Load Prediction Method Based on XGBoost and MLR Open
During the peak load period, there is a high level of imbalance between power supply and demand, which has become a critical challenge, leading to higher operational costs for power grids. To improve the accuracy of peak load forecasting, …
View article: An Optimal Active Power Allocation Method for Wind Farms Considering Unit Fatigue Load
An Optimal Active Power Allocation Method for Wind Farms Considering Unit Fatigue Load Open
To address the issue of premature wear and tear in wind turbines due to uneven fatigue load distribution within wind farms, this study proposes an optimal active power allocation method that considers unit fatigue loads. First, the fatigue…
View article: Robot Gaussian-historical relocalization: inertial measurement unit-LiDAR likelihood field matching
Robot Gaussian-historical relocalization: inertial measurement unit-LiDAR likelihood field matching Open
Robot localization is a foundational technology for autonomous navigation, enabling task execution and adaptation to dynamic environments. However, failure to return to the correct pose after power loss or sudden displacement (the “kidnapp…
View article: Evaluation of Grouting Reinforcement Effectiveness in Coal Seam Floors Using the Monte Carlo Analytical Hierarchy Process: A Case Study of the Rongkang Coal Mine.
Evaluation of Grouting Reinforcement Effectiveness in Coal Seam Floors Using the Monte Carlo Analytical Hierarchy Process: A Case Study of the Rongkang Coal Mine. Open
Pregrouting reinforcement of the coal seam floor is an effective measure for preventing floor water hazards. However, how to objectively evaluate the grouting effectiveness using data from drilling and grouting construction processes remai…
View article: Multi-agent deep reinforcement learning for RIS-assisted secure UAV communication
Multi-agent deep reinforcement learning for RIS-assisted secure UAV communication Open
Unmanned aerial vehicles (UAVs) serve as aerial access points or base stations, providing network services for IoT devices in urban environments with dense infrastructure. However, the line-of-sight nature of air-ground communication links…
View article: A Wind and Solar Power Prediction Method Based on Temporal Convolutional Network–Attention–Long Short-Term Memory Transfer Learning and Sensitive Meteorological Features
A Wind and Solar Power Prediction Method Based on Temporal Convolutional Network–Attention–Long Short-Term Memory Transfer Learning and Sensitive Meteorological Features Open
To address the issue of declining prediction accuracy caused by the lack of data in newly constructed wind and solar power stations, this paper introduces a transfer learning-based forecasting approach for wind and photovoltaic power. The …
View article: Visual Target-Driven Robot Crowd Navigation with Limited FOV Using Self-Attention Enhanced Deep Reinforcement Learning
Visual Target-Driven Robot Crowd Navigation with Limited FOV Using Self-Attention Enhanced Deep Reinforcement Learning Open
Navigating crowded environments poses significant challenges for mobile robots, particularly as traditional Simultaneous Localization and Mapping (SLAM)-based methods often struggle with dynamic and unpredictable settings. This paper propo…
View article: Experimental and numerical evaluation of creep and coupling mechanism with lattice structure of the deposits coarse-grained soils in reservoir area
Experimental and numerical evaluation of creep and coupling mechanism with lattice structure of the deposits coarse-grained soils in reservoir area Open
View article: Dual-LLM Hierarchical Task Planning and Skill Grounding for Mobile Manipulation in Long-Horizon Restroom Cleaning
Dual-LLM Hierarchical Task Planning and Skill Grounding for Mobile Manipulation in Long-Horizon Restroom Cleaning Open
Public restroom cleaning is a laborious but critical task for public hygiene, offering both an opportunity and a challenge for robotic automation. Traditional robotic systems struggle in such environments due to partial observability, dyna…
View article: Visual Target-Driven Robot Crowd Navigation with Limited FOV Using Self-Attention Enhanced Deep Reinforcement Learning
Visual Target-Driven Robot Crowd Navigation with Limited FOV Using Self-Attention Enhanced Deep Reinforcement Learning Open
Navigating crowded environments poses significant challenges for mobile robots, particularly as traditional Simultaneous Localization and Mapping (SLAM)-based methods often struggle with dynamic and unpredictable settings. This paper propo…
View article: Study on the Evolutionary Process and Balancing Mechanism of Net Load in Renewable Energy Power Systems
Study on the Evolutionary Process and Balancing Mechanism of Net Load in Renewable Energy Power Systems Open
With the rapid development of renewable energy sources such as wind and solar, the net load characteristics of power systems have undergone fundamental changes. This paper defines quantitative analysis indicators for net load characteristi…
View article: A Multi-level Multi-attention Mechanism Millimeter-Wave Radar and Camera Fusion Method
A Multi-level Multi-attention Mechanism Millimeter-Wave Radar and Camera Fusion Method Open
In the field of autonomous driving, a commonly employed method to enhance detection accuracy and robustness is the fusion of multi-sensor perception. The fusion of millimeter-wave radar and camera can effectively complement each other, pro…
View article: Person Re-identification Network Based on Multi-Level Feature Fusion
Person Re-identification Network Based on Multi-Level Feature Fusion Open
The challenge of person re-identification (Re-ID) in intelligent security and smart city applications is compounded by pedestrian occlusion, which significantly reduces recognition accuracy due to the loss of feature information and the in…
View article: A Combined Method for Short-Term Load Forecasting Considering the Characteristics of Components of Seasonal and Trend Decomposition Using Local Regression
A Combined Method for Short-Term Load Forecasting Considering the Characteristics of Components of Seasonal and Trend Decomposition Using Local Regression Open
In response to the complexity and high volatility of original load data affecting the accuracy of load forecasting, a combined method for short-term load forecasting considering the characteristics of components of seasonal and trend decom…
View article: Feature Extraction Approach for Distributed Wind Power Generation Based on Power System Flexibility Planning Analysis
Feature Extraction Approach for Distributed Wind Power Generation Based on Power System Flexibility Planning Analysis Open
This study addresses the integral role of typical wind power generation curves in the analysis of power system flexibility planning. A novel method is introduced for extracting these curves, integrating an enhanced K-means clustering algor…
View article: Optimal Configuration of Wind–Solar–Thermal-Storage Power Energy Based on Dynamic Inertia Weight Chaotic Particle Swarm
Optimal Configuration of Wind–Solar–Thermal-Storage Power Energy Based on Dynamic Inertia Weight Chaotic Particle Swarm Open
The proposed approach involves a method of joint optimization configuration for wind–solar–thermal-storage (WSTS) power energy bases utilizing a dynamic inertia weight chaotic particle swarm optimization (DIWCPSO) algorithm. The power gene…
View article: DC-Bus Capacitor Discharge Method Based on Bleeder and Windings for Electric Vehicles in Emergency
DC-Bus Capacitor Discharge Method Based on Bleeder and Windings for Electric Vehicles in Emergency Open
The bleeding circuit is important for dropping the dc-bus voltage to safe voltage when electric vehicles (EVs) encounter an emergency. However, the bleeding circuit may be bulky and heavy to ensure that the total discharge operation can be…
View article: Adaptive Control Strategy for Aligned and Synchronous Operation of Harmonic Air-Gap Magnetic Field for Multi- Phase Induction Machine
Adaptive Control Strategy for Aligned and Synchronous Operation of Harmonic Air-Gap Magnetic Field for Multi- Phase Induction Machine Open
The proposed technique focuses on the aligned and synchronous operation for the fundamental and harmonic air-gap magnetic fields of multiphase induction machine (IM) under non-sinusoidal power supply. The M-axis and T-axis components of th…
View article: Optimal Scheduling Strategy of Wind–Solar–Thermal‐Storage Power Energy Based on CGAN and Dynamic Line–Rated Power
Optimal Scheduling Strategy of Wind–Solar–Thermal‐Storage Power Energy Based on CGAN and Dynamic Line–Rated Power Open
This paper introduces a new way to plan and manage the use of wind and solar power, along with traditional thermal power (TP) and batteries, to get the most environmental and economic benefits. It uses a special kind of artificial intellig…
View article: Analysis on flexibility resources of Western Inner Mongolia power grid
Analysis on flexibility resources of Western Inner Mongolia power grid Open
This paper defines the concept of flexibility in the power system as the ability of the individual components or the system itself to meet the net load changes and respond to power regulation demands. It then reviews the existing methods f…
View article: Assessing flexibility by ramping factor in power systems with high renewable energy proportion
Assessing flexibility by ramping factor in power systems with high renewable energy proportion Open
Current flexibility assessment methods (FAMs) have limitations, such as difficulty in evaluating entire grids with static FAMs and challenges in grid planning with interval FAMs. While probability FAMs are commonly used for grid planning, …
View article: Inertia and Primary Frequency Response Requirement Assessment for High-Penetration Renewable Power Systems Based on Planning Perspective
Inertia and Primary Frequency Response Requirement Assessment for High-Penetration Renewable Power Systems Based on Planning Perspective Open
In order to ensure the sustainable development of energy, the development of new power systems with a high penetration of renewable energy has become a key research direction in the field of power systems. This paper studies the system fre…
View article: Bearing fault diagnosis under non-stationary conditions based on a speed signal resonance component demodulation algorithm
Bearing fault diagnosis under non-stationary conditions based on a speed signal resonance component demodulation algorithm Open
This paper proposes a novel bearing fault diagnosis indicator, the resonance component, for motor speed signals. The speed signal was modulated into a higher-frequency band using a double-inertia system, and the bearing fault information w…
View article: A Power External Transmission Strategy for Regional Power Grids Considering Internal Flexibility Supply and Demand Balance
A Power External Transmission Strategy for Regional Power Grids Considering Internal Flexibility Supply and Demand Balance Open
This paper provides an optimization strategy for flexible operation at the system level to guide the real-time flexible ramping of the power grid. Firstly, the concept of regional power grid flexibility is clarified, and the ramping factor…
View article: Power External Transmission Strategy for Regional Power Grid Considering Internal Flexibility Supply and Demand Balance
Power External Transmission Strategy for Regional Power Grid Considering Internal Flexibility Supply and Demand Balance Open
This paper provides an optimization strategy for flexible operation at the system level, so as to guide the real-time flexible ramping of the power grid. Firstly, the concept of regional power grid flexibility was clarified, and the rampin…
View article: Torque-Type Backlash Inverse Control for an Electromechanical Actuator With Active Disturbance Rejection
Torque-Type Backlash Inverse Control for an Electromechanical Actuator With Active Disturbance Rejection Open
Backlash inverse (BI) is a useful backlash compensator in electromechanical actuators (EMA). However, conventional BI is only relevant when the system damping is strong and the load torque is zero. When confronted with complex conditions, …
View article: Bearing Fault Diagnosis under Time-Varying Speed and Load Conditions via Observer-Based Load Torque Analysis
Bearing Fault Diagnosis under Time-Varying Speed and Load Conditions via Observer-Based Load Torque Analysis Open
Bearing fault is the most common failure in rotating machines, and bearing fault diagnosis (BFD) has been investigated using vibration, current, or acoustic signals. However, there are still challenges in some existing approaches. This stu…
View article: An Online VSI Error Parameter Identification Method for Multiphase IM With Non-Sinusoidal Power Supply
An Online VSI Error Parameter Identification Method for Multiphase IM With Non-Sinusoidal Power Supply Open
Voltage-source-inverter (VSI) nonlinearity compensation is an important scheme for improve motor performance. The traditional off-line method is cumbersome and the compensation effect is poor because it does not simulate the real operation…
View article: A Fast Response Robust Deadbeat Predictive Current Control for Permanent Magnet Synchronous Motor
A Fast Response Robust Deadbeat Predictive Current Control for Permanent Magnet Synchronous Motor Open
Deadbeat predictive current control (DBPCC) has the characteristic of fast current response, but it is sensitive to motor parameters. Observer-based DBPCC can eliminate the steady state current tracking error when parameter mismatch exists…
View article: Loss Investigation for Multiphase Induction Machine under Open-Circuit Fault Using Field–Circuit Coupling Finite Element Method
Loss Investigation for Multiphase Induction Machine under Open-Circuit Fault Using Field–Circuit Coupling Finite Element Method Open
This paper focuses on the loss estimation for the multiphase induction machine (IM) operating under fault-tolerant conditions through the field–circuit coupling finite element method (FEM). Both one-phase and two-phase open-circuit faults …