Yujian Ye
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View article: An uncertainty-aware bi-level multitask SqueezeNet for dynamic security assessment in power systems with focus on critical generator identification under small and imbalanced datasets
An uncertainty-aware bi-level multitask SqueezeNet for dynamic security assessment in power systems with focus on critical generator identification under small and imbalanced datasets Open
View article: Toward profitable energy futures trading strategies using reinforcement learning incorporating disagreement and connectedness methods enabled by large language models
Toward profitable energy futures trading strategies using reinforcement learning incorporating disagreement and connectedness methods enabled by large language models Open
The energy market plays a fundamental role in the global economy, shaping energy prices, inflation, and financial stability across nations. As the world transitions toward low-carbon energy solutions, optimizing trading strategies in this …
View article: Coordinated electric vehicle control in distribution networks towards multi-service provisions: A transformer learning-based risk management strategy
Coordinated electric vehicle control in distribution networks towards multi-service provisions: A transformer learning-based risk management strategy Open
View article: HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management
HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management Open
This letter proposes an Adversarial Inverse Reinforcement Learning (AIRL)-based energy management method for a smart home, which incorporates an implicit thermal dynamics model. In the proposed method, historical optimal decisions are firs…
View article: Investigating the impact of demand-side flexibility on market-driven generation planning toward a fully decarbonized power system
Investigating the impact of demand-side flexibility on market-driven generation planning toward a fully decarbonized power system Open
View article: Optimal supply chain design using machine learning, risk assessment and optimisation applied to coal distribution
Optimal supply chain design using machine learning, risk assessment and optimisation applied to coal distribution Open
View article: Optimizing Electric Transit Network and Fleet Transition: A Deep Reinforcement Learning Approach
Optimizing Electric Transit Network and Fleet Transition: A Deep Reinforcement Learning Approach Open
View article: Multi-Stage Electricity Market Bidding Strategy for Integrated Energy Refueling Stations Considering Hydrogen Costs Under Multi-Dimensional Uncertainties
Multi-Stage Electricity Market Bidding Strategy for Integrated Energy Refueling Stations Considering Hydrogen Costs Under Multi-Dimensional Uncertainties Open
View article: Bi‐Level Optimisation Model for Harvesting Spatial‐Temporal Load Shifting Flexibility of Data Centres Using Endogenously Formed Locational Price Signal
Bi‐Level Optimisation Model for Harvesting Spatial‐Temporal Load Shifting Flexibility of Data Centres Using Endogenously Formed Locational Price Signal Open
With the rapid advancement of digital information technology, the demand for computational power continues to grow, driving the expansion of the data centre (DC) industry, leading to gigantic amount of energy consumption and greenhouse gas…
View article: Regional Frequency-Constrained Planning for the Optimal Sizing of Power Systems via Enhanced Input Convex Neural Networks
Regional Frequency-Constrained Planning for the Optimal Sizing of Power Systems via Enhanced Input Convex Neural Networks Open
Large renewable penetration has been witnessed in power systems, resulting in reduced levels of system inertia and increasing requirements for frequency response services. There have been plenty of studies developing frequency-constrained …
View article: Real-Time Voltage Stability Assessment With a Novel Bus Index Considering Impact of Connection to Distribution Networks
Real-Time Voltage Stability Assessment With a Novel Bus Index Considering Impact of Connection to Distribution Networks Open
Many real-world power systems operate near voltage stability limits due to rising power demands, limited generation sources, and delays in development projects. Therefore, conducting online voltage stability assessments of power systems is…
View article: Option value, investment costs and deployment levels of smart grid technologies
Option value, investment costs and deployment levels of smart grid technologies Open
The global effort to mitigate the effects of climate change has triggered the need for significant changes in electricity grids, including the deployment of smart grid technologies. This paper explores key smart grid economics such as the …
View article: Transient Stability-Driven Planning for the Optimal Sizing of Resilient AC/DC Hybrid Microgrids
Transient Stability-Driven Planning for the Optimal Sizing of Resilient AC/DC Hybrid Microgrids Open
This paper proposes a transient stability-driven planning framework for the optimal sizing problem of resilient AC/DC hybrid microgrids (HMGs) under different types of contingencies, capturing frequency and voltage stability requirements a…
View article: Topology switching-based moving target defense against false data injection attacks on a power system
Topology switching-based moving target defense against false data injection attacks on a power system Open
False data injection attacks (FDIAs), as strategically designed cyberattacks, can bypass bad data detection mechanisms and thus pose potential economic and stability risks to power systems. In addition to increasing the detection capabilit…
View article: Resilient energy management of a multi-energy building under low-temperature district heating: A deep reinforcement learning approach
Resilient energy management of a multi-energy building under low-temperature district heating: A deep reinforcement learning approach Open
View article: Efficacy of Cortical-Hippocampal Target Intermittent Theta Burst Stimulation (iTBS) on Associative Memory of Schizophrenia: A Double-Blind, Randomized Sham-Controlled Trial
Efficacy of Cortical-Hippocampal Target Intermittent Theta Burst Stimulation (iTBS) on Associative Memory of Schizophrenia: A Double-Blind, Randomized Sham-Controlled Trial Open
clinicaltrials.gov NCT03608462.
View article: Co-optimizing electric bus dispatching and charging considering limited resources and battery degradation
Co-optimizing electric bus dispatching and charging considering limited resources and battery degradation Open
This paper aims to formulate a mathematical model for a multi-type electric bus scheduling problem to determine the optimal fleet composition, bus-to-trip assignment, and partial charging schedule, where the battery degradation, nonlinear …
View article: Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach
Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach Open
Sequential decision making is an important part of robotic problems that is receiving unprecedented attention from both academia and industry. Recently, Deep Reinforcement Learning (DRL) has shown its promising capabilities in decision mak…
View article: Comparison of the Accuracy of HSV1 and HSV2 Antibody Tests with PCR in the Diagnosis of Recurrent Genital Herpes
Comparison of the Accuracy of HSV1 and HSV2 Antibody Tests with PCR in the Diagnosis of Recurrent Genital Herpes Open
Genital herpes is primarily caused by HSV2 (92.98%). A smaller percentage is HSV1 (4.67%) or co-infection (2.34%). Despite relatively low diagnostic accuracy (34.9-85.7%) for antibody detection, combined antibody testing is necessary. Herp…
View article: Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing Open
The analysis of decision-making process in electricity markets is crucial for understanding and resolving issues related to market manipulation and reduced social welfare. Traditional Multi-Agent Reinforcement Learning (MARL) method can mo…
View article: Revisiting Capacity Value of Variable Renewable Energy Generation in Power Systems with High Renewable Energy Penetration
Revisiting Capacity Value of Variable Renewable Energy Generation in Power Systems with High Renewable Energy Penetration Open
View article: Carbon-Oriented Generation Planning: A Market-Driven Approach
Carbon-Oriented Generation Planning: A Market-Driven Approach Open
View article: Carbon Cap Based Multi-Energy Sharing Among Heterogeneous Microgrids Using Multi-Agent Safe Reinforcement Learning Method with Credit Assignment and Sequential Update
Carbon Cap Based Multi-Energy Sharing Among Heterogeneous Microgrids Using Multi-Agent Safe Reinforcement Learning Method with Credit Assignment and Sequential Update Open
View article: Physics-guided Safe Policy Learning with Enhanced Perception for Real-time Dynamic Security Constrained Optimal Power Flow
Physics-guided Safe Policy Learning with Enhanced Perception for Real-time Dynamic Security Constrained Optimal Power Flow Open
View article: Identifying generalizable equilibrium pricing strategies for charging service providers in coupled power and transportation networks
Identifying generalizable equilibrium pricing strategies for charging service providers in coupled power and transportation networks Open
Transportation electrification, involving large-scale integration of electric vehicles (EV) and fast charging stations (FCS), plays a critical role for global energy transition and decarbonization. In this context, coordination of EV routi…
View article: Guest Editorial: Transition towards deep decarbonisation of modern energy systems
Guest Editorial: Transition towards deep decarbonisation of modern energy systems Open
The decarbonisation of modern energy systems is key to reducing global greenhouse gas emissions and hence mitigating climate change. While governments worldwide have taken significant initiatives towards decarbonisation and announced their…
View article: Editorial: AI, data analytics, and mechanism design for DER integration toward net zero
Editorial: AI, data analytics, and mechanism design for DER integration toward net zero Open
The energy system is undergoing a fundamental energy transition by integrating low-carbon distributed 5 energy resources (DERs) in distribution networks to accelerate net zero. The increased DER uptake 6 poses significant challenges in ope…
View article: Capacity evaluation of central air conditioning load participating in peak shaving of renewable dominated power systems
Capacity evaluation of central air conditioning load participating in peak shaving of renewable dominated power systems Open
The development of renewable‐dominated power systems (RDPS) in the context of pursuing deep decarbonisation targets necessitates suitable exploitation of the peak shaving capacity (PSC) of central air conditioning loads (CACL) in multiple …
View article: Hazardous use of benzodiazepine receptor agonists in psychiatric clinics in China: electronic prescription database study – CORRIGENDUM
Hazardous use of benzodiazepine receptor agonists in psychiatric clinics in China: electronic prescription database study – CORRIGENDUM Open
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View article: Hazardous use of benzodiazepine receptor agonists in psychiatric clinics in China: electronic prescription database study
Hazardous use of benzodiazepine receptor agonists in psychiatric clinics in China: electronic prescription database study Open
Background Benzodiazepine receptor agonists (BZRAs) are commonly used clinically and data on their hazardous use from large populations of psychiatric patients is limited. Aims To assess the current status of hazardous BZRA use and related…