Jiying Liu
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View article: A Numerical Investigation of the Trade-Off Between Sound Insulation and Air Ventilation for a Partially Open Door
A Numerical Investigation of the Trade-Off Between Sound Insulation and Air Ventilation for a Partially Open Door Open
As urban buildings become increasingly dense, indoor personnel are often exposed to noise disturbances from adjoining rooms which can reduce working efficiency and affect mental health. Closing the door is one of the ways to reduce noise t…
View article: The Hydrogen Trade-Off: Optimizing Decarbonization Pathways for Urban Integrated Energy Systems
The Hydrogen Trade-Off: Optimizing Decarbonization Pathways for Urban Integrated Energy Systems Open
Rapid socio-economic development has made energy application and environmental issues increasingly prominent. Hydrogen energy, clean, eco-friendly, and highly synergistic with renewable energy, has become a global research focus. This stud…
View article: Unraveling Electrochemical–Thermal Synergy in Lithium-Ion Batteries: A Predictive Framework Based on 3D Modeling and SVAR
Unraveling Electrochemical–Thermal Synergy in Lithium-Ion Batteries: A Predictive Framework Based on 3D Modeling and SVAR Open
Energy shortage and environmental pollution have accelerated the adoption of lithium-ion batteries (LIBs) as efficient energy storage solutions. However, their performance and safety challenges under extreme temperatures highlight the urge…
View article: The Role of the TIMP1/LINC01615 Axis as a Regulator of the EMT Pathway in Gastric Cancer
The Role of the TIMP1/LINC01615 Axis as a Regulator of the EMT Pathway in Gastric Cancer Open
View article: Event-based asynchronous fault detection filter for switch T-S fuzzy systems under hybrid attacks
Event-based asynchronous fault detection filter for switch T-S fuzzy systems under hybrid attacks Open
View article: Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building
Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building Open
View article: Vegetation Configuration Effects on Microclimate and PM2.5 Concentrations: A Case Study of High-Rise Residential Complexes in Northern China
Vegetation Configuration Effects on Microclimate and PM2.5 Concentrations: A Case Study of High-Rise Residential Complexes in Northern China Open
While urban greenery is known to regulate microclimates and reduce air pollution, its integrated effects remain insufficiently quantified. Through field monitoring and ENVI-met 5.1 modeling of high-rise residential areas in Jinan, the resu…
View article: Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction
Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction Open
This paper presents a simulation-based framework for predicting the performance of proton exchange membrane electrolytic cells (PEMEC). Machine learning techniques are employed to conduct predictive modeling and comparative analysis, with …
View article: Mechanism and Diastereoselectivity of the Photo‐/NHC Cocatalyzed Fluoroacylation of Benzofurans: A Theoretical View
Mechanism and Diastereoselectivity of the Photo‐/NHC Cocatalyzed Fluoroacylation of Benzofurans: A Theoretical View Open
The NHC/photoredox cocatalysis proposes an alternative to conventional methods for acylation of the unsaturated bonds. But it is still a great challenge to effectively control the stereoselectivities stemming from couplings of the ketyl ra…
View article: A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions
A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions Open
The rapid development of machine learning and artificial intelligence technologies has promoted the widespread application of data-driven algorithms in the field of building energy consumption prediction. This study comprehensively explore…
View article: Numerical Analysis of Transient Burn Injury Grading Through Coupled Heat Transfer and Damage Integral Modeling
Numerical Analysis of Transient Burn Injury Grading Through Coupled Heat Transfer and Damage Integral Modeling Open
The accurate assessment of parameters such as burn degree, volume, and depth is a prerequisite for the effective treatment of patients. However, as an unsteady heat transfer process, the temperature of the burn damage volume changes over t…
View article: Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps
Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps Open
This study proposes a control method that integrates deep reinforcement learning with load forecasting, to enhance the energy efficiency of ground source heat pump systems. Eight machine learning models are first developed to predict futur…
View article: Electricity Demand Forecasting for Cultural Institutions: A Comparative Study of Lstm and Cnn-Lstm Models with Three Data Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums
Electricity Demand Forecasting for Cultural Institutions: A Comparative Study of Lstm and Cnn-Lstm Models with Three Data Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums Open
View article: PRTS: Predicting Single-Cell Spatial Transcriptomic Maps from Histological Images
PRTS: Predicting Single-Cell Spatial Transcriptomic Maps from Histological Images Open
High-resolution spatial transcriptomics (ST) data provide valuable insights into the molecular dynamics underlying complex biological processes. However, their widespread application remains limited due to high costs and technical challeng…
View article: Advanced Techniques for Electricity Consumption Prediction in Buildings Using Comparative Correlation Analysis, Data Normalization, and Long Short-Term Memory (Lstm) Networks: A Case Study of a U.S. Commercial Building
Advanced Techniques for Electricity Consumption Prediction in Buildings Using Comparative Correlation Analysis, Data Normalization, and Long Short-Term Memory (Lstm) Networks: A Case Study of a U.S. Commercial Building Open
View article: Study on the Ground Temperature Response Induced by Gshp System Operation Under Different Geological Conditions
Study on the Ground Temperature Response Induced by Gshp System Operation Under Different Geological Conditions Open
View article: Optimization and Scheduling of Green Power System Consumption Based on Multi-Device Coordination and Multi-Objective Optimization
Optimization and Scheduling of Green Power System Consumption Based on Multi-Device Coordination and Multi-Objective Optimization Open
View article: Forecasting-Driven Multi-Objective Optimal Configuration of a Wind-Solar-Molten Salt Hybrid Energy System for the Alumina Digestion Process
Forecasting-Driven Multi-Objective Optimal Configuration of a Wind-Solar-Molten Salt Hybrid Energy System for the Alumina Digestion Process Open
View article: Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook
Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook Open
With the rapid development of the artificial intelligence (AI) technology, its application in optimizing heating, ventilation and air-conditioning (HVAC) systems operation is becoming increasingly widespread. This study reviews the latest …
View article: Investigating Factors Impacting Power Generation Efficiency in Photovoltaic Double-Skin Facade Curtain Walls
Investigating Factors Impacting Power Generation Efficiency in Photovoltaic Double-Skin Facade Curtain Walls Open
Photovoltaic double-skin glass is a low-carbon energy-saving curtain wall system that uses ventilation heat exchange and airflow regulation to reduce heat gain and generate a portion of electricity. By developing a theoretical model of the…
View article: A Numerical Investigation of the Influence of Diffuser Vane Height on Hydraulic Loss in the Volute for a Centrifugal Water Supply Pump
A Numerical Investigation of the Influence of Diffuser Vane Height on Hydraulic Loss in the Volute for a Centrifugal Water Supply Pump Open
The energy efficiency of water supply systems in high-rise residential buildings has become a significant concern for sustainable development in recent times. This work presents a numerical investigation on the influence of diffuser vane h…
View article: Optimal Design of Air Treatment for an Adsorption Water-Harvesting System
Optimal Design of Air Treatment for an Adsorption Water-Harvesting System Open
In some areas where access to water is difficult, such as arid regions, it is a feasible measure to acquire water from the air. In this context, a system for water harvesting from the air was designed and manufactured. In order to find the…
View article: The development of radiant floor cooling system (RFCS): System type, control strategy, and application
The development of radiant floor cooling system (RFCS): System type, control strategy, and application Open
The utilization of radiant floor systems is one effective method to address the increasing cooling demand. The radiant floor cooling system (RFCS) has self-regulating capabilities, which benefit grid stability and the use of renewable ener…
View article: Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models
Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models Open
The study investigates the impact of data normalization on the prediction of electricity consumption in buildings using four multilayer Artificial Neural Networks (ANN) algorithms: Long Short-Term Memory Networks (LSTM), Levenberg-Marquard…
View article: A Comparative Analysis of Machine Learning Algorithms in Predicting the Performance of a Combined Radiant Floor and Fan Coil Cooling System
A Comparative Analysis of Machine Learning Algorithms in Predicting the Performance of a Combined Radiant Floor and Fan Coil Cooling System Open
Machine learning algorithms have proven to be practical in a wide range of applications. Many studies have been conducted on the operational energy consumption and thermal comfort of radiant floor systems. This paper conducts a case study …
View article: Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach
Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach Open
This study proposes a hybrid prediction model using sparrow search algorithm (SSA) to optimize the convolutional neural network (CNN) and support vector machine (SVM), in order to perform accurate prediction of secondary supply temperature…
View article: Metagenome-assembled genomes from enrichment cultures grown on xenobiotic solvents
Metagenome-assembled genomes from enrichment cultures grown on xenobiotic solvents Open
Microbes play a significant role in the cleanup of xenobiotic contaminants. Based on metagenomes derived from long-term enrichment cultures grown on xenobiotic solvents, we report 166 metagenome-assembled genomes, of which 137 are predicte…
View article: Optimizing long-term park-level integrated energy system through multi-stage planning: A study incorporating the ladder-type carbon trading mechanism
Optimizing long-term park-level integrated energy system through multi-stage planning: A study incorporating the ladder-type carbon trading mechanism Open
The integrated energy system is widely acknowledged as an effective method for advancing the adoption of renewable energy sources and reducing carbon emissions. To address economic issues caused by the inconsistency between traditional sin…
View article: Forsythoside B Mitigates Monocrotaline-Induced Pulmonary Arterial Hypertension via Blocking the NF-κB Signaling Pathway to Attenuate Vascular Remodeling
Forsythoside B Mitigates Monocrotaline-Induced Pulmonary Arterial Hypertension via Blocking the NF-κB Signaling Pathway to Attenuate Vascular Remodeling Open
FTS•B effectively attenuates PAH by suppressing the NF-κB signaling pathway to attenuate vascular remodeling. FTS•B might be a promising drug candidate with clinical translational potential for the treatment of PAH.
View article: Influence of boundary conditions on non-equilibrium heat transport under ultrafast laser action based on the lattice Boltzmann method
Influence of boundary conditions on non-equilibrium heat transport under ultrafast laser action based on the lattice Boltzmann method Open
Based on the lattice Boltzmann method, this paper simulated the non-equilibrium heat transfer process in nano-silicon thin film under ultrafast laser irradiation. The influence of boundary conditions on heat transport was investigated. Res…