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Improved Coordinated Control Strategy for Auxiliary Frequency Regulation of Gas-Steam Combined Cycle Units Open
With the increasing penetration of renewable energy, the frequency regulation burden on thermal power units is growing significantly. Among them, combined cycle gas turbine (CCGT) units are playing an increasingly important role in grid an…
View article: Hybrid Deep Learning Framework for Anomaly Detection in Power Plant Systems
Hybrid Deep Learning Framework for Anomaly Detection in Power Plant Systems Open
Currently, thermal power units undertake the task of peak and frequency regulation, and their internal equipment is in a non-conventional environment, which could very easily fail and thus lead to unplanned shutdown of the unit. To realize…
View article: Isolation and Identification of Pathogenic Bacteria Aeromonas veronii in Ctenopharyngodon idella (Grass Carp) and Chinese Herbal Medicine Antibacterial Experiment
Isolation and Identification of Pathogenic Bacteria Aeromonas veronii in Ctenopharyngodon idella (Grass Carp) and Chinese Herbal Medicine Antibacterial Experiment Open
Grass carp in aquaculture exhibited symptoms of bacterial infection leading to mortality. To investigate the cause of the disease and control grass carp infections, samples from diseased grass carp were collected, and a bacterial strain na…
View article: An Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Controller for Supercritical Power Plants
An Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Controller for Supercritical Power Plants Open
This study introduces an Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Control (EEA-ESKF-MPC) method to tackle strong coupling and inertia in supercritical power plants. By enhancing the ESKF-MPC framework with a me…
View article: Dynamic Exergy Analysis of Heating Surfaces in a 300 MW Drum-Type Boiler
Dynamic Exergy Analysis of Heating Surfaces in a 300 MW Drum-Type Boiler Open
In the age of widespread renewable energy integration, coal-fired power plants are transitioning from a primary baseload role to a more flexible peak-shaving capacity. Under frequent load changes, the thermal efficiency will significantly …
View article: A Method for the Front-End Design of Electric SUVs Integrating Kansei Engineering and the Seagull Optimization Algorithm
A Method for the Front-End Design of Electric SUVs Integrating Kansei Engineering and the Seagull Optimization Algorithm Open
With the rapid expansion of the Electric Sport Utility Vehicle (ESUV) market, capturing consumer aesthetic preferences and emotional needs through front-end styling has become a key issue in automotive design. However, traditional Kansei E…
View article: An Unexpected Spirocyclic Compound by the Scholl Reaction
An Unexpected Spirocyclic Compound by the Scholl Reaction Open
The Scholl reaction is a powerful synthetic method for polyaromatics through intramolecular C─C bond formation. In this work, three substrates were prepared to examine their potential to generate heptagon‐embedded polycyclic compounds unde…
View article: A Capacity Allocation Method for Long-Endurance Hydrogen-Powered Hybrid UAVs Based on Two-Stage Optimization
A Capacity Allocation Method for Long-Endurance Hydrogen-Powered Hybrid UAVs Based on Two-Stage Optimization Open
Due to the challenges associated with the application of existing two-stage optimization methods in energy system capacity configuration, such as uncertainty scenario generation, multi-timescale coupling, and balancing economic and environ…
View article: Power System Reliability Assessment Considering Coal-Fired Unit Peaking Characteristics
Power System Reliability Assessment Considering Coal-Fired Unit Peaking Characteristics Open
The large-scale integration of renewable energy and the serious safety issues faced by coal-fired units during peak regulation pose significant challenges to the reliable operation of power systems. Traditional probabilistic production sim…
View article: User Preference-Based Method for Characterizing Automotive Wheel Hub Styles
User Preference-Based Method for Characterizing Automotive Wheel Hub Styles Open
User preferences serve as a crucial dimension in describing the product style and its psychological experience. To assist designers in rapidly producing wheel designs that align with user preferences and enhance design efficiency by improv…
View article: Impact Load Compensation Inverter Based on Nonlinear Adaptive Multiple Input Multiple Output Control Strategy
Impact Load Compensation Inverter Based on Nonlinear Adaptive Multiple Input Multiple Output Control Strategy Open
A nonlinear adaptive multiple-input multiple-output (NAMIMO) controller is designed to control a super capacitor compensation inverter. The proposed controller effectively suppresses the effects of impact loads from natural gas generation …
View article: V-Shaped Dynamic Morphology Curve: A Sustainable Approach to Automotive Wheel Design
V-Shaped Dynamic Morphology Curve: A Sustainable Approach to Automotive Wheel Design Open
The increasing demand for efficiency, brand consistency, and sustainability in automotive design has led to the exploration of innovative methods. This study investigated the impact of the V-shaped Dynamic Morphology Curve (VDMC) on design…
View article: Combined Scheduling and Configuration Optimization of Power-to-Methanol System Considering Feedback Control of Thermal Power
Combined Scheduling and Configuration Optimization of Power-to-Methanol System Considering Feedback Control of Thermal Power Open
A power-to-methanol (P2M) system is a promising energy storage approach in transforming surplus renewable energy into a chemical product while utilizing the captured CO2 from conventional thermal power units. Most of the traditional method…
View article: Research and Application Prospect of Nanomedicine in Kidney Disease: A Bibliometric Analysis From 2003 to 2024
Research and Application Prospect of Nanomedicine in Kidney Disease: A Bibliometric Analysis From 2003 to 2024 Open
Kidney disease is a major public health concern that has a significant effect on a patient's life span and quality of life. However, effective treatment for most kidney diseases is lacking. Nanotechnology mainly explores the design, charac…
View article: Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm
Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm Open
Energy scheduling for hybrid unmanned aerial vehicles (UAVs) is of critical importance to their safe and stable operation. However, traditional approaches, predominantly rule-based, often lack the dynamic adaptability and stability necessa…
View article: Model Predictive Hybrid PID Control and Energy-Saving Performance Analysis of Supercritical Unit
Model Predictive Hybrid PID Control and Energy-Saving Performance Analysis of Supercritical Unit Open
In response to the escalating challenges of rapid load fluctuations and intricate operating environments, supercritical power units demand enhanced control efficiency and adaptability. To this end, this study introduces a novel model predi…
View article: The suppression of the common mode interference based on the matched transient voltage
The suppression of the common mode interference based on the matched transient voltage Open
This paper presents a new method to suppress the common mode (CM) conducted interference of brushless DC motor (BLDCM). In the proposed method, the effect of the delay on the CM conducted interferences is analyzed and the average output CM…
View article: Comparative Study of the Effects of Drugs Targeting Adrenergic Receptors on the Early Life Stages of Zebrafish
Comparative Study of the Effects of Drugs Targeting Adrenergic Receptors on the Early Life Stages of Zebrafish Open
Owing to the presence of drugs targeting adrenergic receptors in aquatic ecosystems, considerable attention has been directed towards their environmental distribution and fate in recent decades. However, their potential impacts on non-targ…
View article: OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer Open
DEtection TRansformer (DETR) becomes a dominant paradigm, mainly due to its common architecture with high accuracy and no post-processing. However, DETR suffers from unstable training dynamics. It consumes more data and epochs to converge …
View article: R-ODE: Ricci Curvature Tells When You Will be Informed
R-ODE: Ricci Curvature Tells When You Will be Informed Open
Information diffusion prediction is fundamental to understand the structure and organization of the online social networks, and plays a crucial role to blocking rumor spread, influence maximization, political propaganda, etc. So far, most …
View article: RETRACTED: Memon et al. Investigation of the Physical Properties of Yarn Produced from Textile Waste by Optimizing Their Proportions. Sustainability 2022, 14, 9453
RETRACTED: Memon et al. Investigation of the Physical Properties of Yarn Produced from Textile Waste by Optimizing Their Proportions. Sustainability 2022, 14, 9453 Open
The journal retracts the article, “Investigation of the Physical Properties of Yarn Produced from Textile Waste by Optimizing Their Proportions” [...]
View article: Deep Reinforcement Learning Based Energy Scheduling of a Hybrid Electricity/Heat/Hydrogen Energy System
Deep Reinforcement Learning Based Energy Scheduling of a Hybrid Electricity/Heat/Hydrogen Energy System Open
Hybrid electricity/heat/hydrogen energy system is a potential solution for the future low-carbon residential energy system.This paper studies the efficient energy scheduling of such system, including hydrogen production, utilization and st…
View article: Contrastive Graph Clustering in Curvature Spaces
Contrastive Graph Clustering in Curvature Spaces Open
Graph clustering is a longstanding research topic, and has achieved remarkable success with the deep learning methods in recent years. Nevertheless, we observe that several important issues largely remain open. On the one hand, graph clust…