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G. Drzewiecki

Also published under: G. M. Drzewiecki, Gary Drzewiecki, Gary M. Drzewiecki

Publications
61
Citations
211
Publications by Year
19882022
Co-Authors:
Show All Co-Authors (64)
Image of author G. Drzewiecki

G. Drzewiecki

Also published under: G. M. Drzewiecki, Gary Drzewiecki, Gary M. Drzewiecki

Affiliation

Department of Biomedical Engineering
Rutgers University
New Brunswick, New Jersey, USA

Publication Topics

Biography

Gary M. Drzewiecki (S'75–M'83) received the B.S. degree in electrical engineering from the State University of New York, Buffalo, in 1976, the M.S. degree in electrical engineering and the Ph.D. degree in bioengineering from the University of Pennsylvania, Philadelphia, in 1979 and 1985, respectively.,From 1978 to 1983, he was a National Institutes of Health (NIH) Training Fellow at the University of Pennsylvania. In 1983, he joined the Department of Biomedical Engineering, Rutgers University, New Brunswick, NJ, where he is currently a full Professor and a member of the graduate faculty. His current research interests include cardiovascular system dynamics and noninvasive cardiology. He holds four U.S. patents for noninvasive cardiovascular...
Publications
61
Citations
211
Publications by Year
19882022
Co-Authors:
Show All Co-Authors (64)
Author's Published Works

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A day-ahead electricity price forecasting algorithm considered with multidimensional factors

Yanjun Dong;Jing Zhao;Juan Su;Songhuai Du

2023 8th International Conference on Power and Renewable Energy (ICPRE)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
In light of the increasing number of participating members in the electricity market, the surge in the volume of electricity trading data and the rising demand for accuracy in electricity price forecasting, this paper proposes to construct a day-ahead electricity price forecasting method that considers multi-dimensional electricity price influencing factors. Firstly, the factors influencing the fo...Show More

A day-ahead electricity price forecasting algorithm considered with multidimensional factors

Yanjun Dong;Jing Zhao;Juan Su;Songhuai Du

Year: 2023 | Conference Paper |

Virtual Contribution Theory-Based Bidirectional Loss Allocation Method for Active Distributed Networks

Jing Zhao;Yanjun Dong;Jingtong Zhao;Songhuai Du;Juan Su

2023 8th International Conference on Power and Renewable Energy (ICPRE)
Year: 2023 | Conference Paper |
Loss allocation plays a pivotal role in power transmission and distribution services as it is integral to the reconciliation process between generator-user settlements. The advent of distributed generation over the recent years has introduced bidirectional power flow along transformers and mainlines in conventional distribution networks, complicating the calculation of power losses and the rectifi...Show More

Virtual Contribution Theory-Based Bidirectional Loss Allocation Method for Active Distributed Networks

Jing Zhao;Yanjun Dong;Jingtong Zhao;Songhuai Du;Juan Su

Year: 2023 | Conference Paper |

Dynamic Analysis and Modeling of the Natural Gas Pipeline Using the Electrical Analogy

Ruikai Song;Yue Xia;Songhuai Du

2023 IEEE Power & Energy Society General Meeting (PESGM)
Year: 2023 | Conference Paper |
In this paper, a method for modeling and simulation of pneumatic transients of natural gas (NG) pipelines is proposed. The partial differential equations (PDEs) that describe the dynamics characteristics of the NG pipeline are converted to ordinary differential equations (ODEs) based on the difference approximation. Electrical analogies for pneumatic quantities are exploited. An equivalent circuit...Show More

Dynamic Analysis and Modeling of the Natural Gas Pipeline Using the Electrical Analogy

Ruikai Song;Yue Xia;Songhuai Du

Year: 2023 | Conference Paper |

The Integrated Planning Model of Energy Station-Network-Pipe Gallery Considering the Node Path Association

Xun Du;Songhuai Du;Juan Su;Jiafu Wu

2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)
Year: 2023 | Conference Paper |
Comprehensive energy system planning is the primary core issue of energy Internet construction. The existing energy station location, capacity determination and pipeline network layout planning of multi energy network are generally obtained by staged optimization or traditional intelligent optimization methods, resulting in the final result of non-optimal solution or local optimal solution; At the...Show More

The Integrated Planning Model of Energy Station-Network-Pipe Gallery Considering the Node Path Association

Xun Du;Songhuai Du;Juan Su;Jiafu Wu

Year: 2023 | Conference Paper |

Research on Double Active Clamping Single Staged Backward AC-AC Converter

Jiafu Wu;Songhuai Du;Juan Su;Yue Xia;Xun Du;Hongfei Zhang

2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)
Year: 2021 | Conference Paper |
Based on the development and status of solid state transformers, a class of double-active clamping single-stage anti-excitation AC-AC converter is proposed. The circuit structure of double-active clamping single-stage anti-excitation AC-AC converter is designed. The circuit is a Buck-Boost circuit topology. Through leakage inductance and capacitance resonance, the clamping purpose is achieved. Rel...Show More

Research on Double Active Clamping Single Staged Backward AC-AC Converter

Jiafu Wu;Songhuai Du;Juan Su;Yue Xia;Xun Du;Hongfei Zhang

Year: 2021 | Conference Paper |

Multi-day Load Forecasting Method In Electricity Spot Markets Based on Multiple LSTMs

Guang Yang;Songhuai Du;Qingling Duan;Juan Su

2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
Multi-Day Load Forecasting is the basis of Electricity Spot Markets Analysis and operation. At present, the Research on Electricity Spot Markets Load Forecasting has not considered the influence of Day-ahead Market on Real-Time Market, which leads to deviation and consumes a lot of time and energy. Therefore, this paper presents a Multi-Day Load Forecasting model based on Multiple Long Short Term ...Show More

Multi-day Load Forecasting Method In Electricity Spot Markets Based on Multiple LSTMs

Guang Yang;Songhuai Du;Qingling Duan;Juan Su

Year: 2021 | Conference Paper |

Dynamic Modeling of Natural Gas Pipeline Using Electric Circuit Equivalents

Ruikai Song;Yue Xia;Songhuai Du;Juan Su;Yin Chen

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
In this paper, a method for modeling and simulation of pneumatic transients of natural gas pipelines is proposed. The partial differential equations (PDEs) that describe the dynamics of the gas pipeline are converted to the ordinary differential equations (ODEs) based on the difference approximation. Electrical analogies for pneumatic and thermal quantities are exploited, and the natural gas pipel...Show More

Dynamic Modeling of Natural Gas Pipeline Using Electric Circuit Equivalents

Ruikai Song;Yue Xia;Songhuai Du;Juan Su;Yin Chen

Year: 2020 | Conference Paper |

Price Demand Response Model Based on Consumer Psychology

Juan Su;Yuxuan Zhang;Chuankang Yang;Guangjin Xing;Songhuai Du

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Based on consumer psychology, a price-based demand response load model is established, which divides the load into two parts: the basic load and the response load. The basic load uses the distance space method to filter the load of the five characteristic quantities of the week, the holiday, the season, the date difference, and the weather from the historical load. The response load is modeled bas...Show More

Price Demand Response Model Based on Consumer Psychology

Juan Su;Yuxuan Zhang;Chuankang Yang;Guangjin Xing;Songhuai Du

Year: 2020 | Conference Paper |

Implementation of Equivalent Circuit Model of Solid Oxide Fuel Cells for Multi-physics Transients Simulation Using Simulink/SimPowerSystems

Mingyu Jiang;Tian Lan;Yue Xia;Songhuai Du;Juan Su;Ying Chen

2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Solid oxide fuel cell (SOFC) has received considerable attention nowadays. It can be used in the integrated energy system (IES) to provide both thermal power and electric power. For purposes of analysis of multi-physics phenomena, a SOFC model that considers electric, pneumatic, and thermal transients is developed in this paper. Electrical analogies for pneumatic and thermal quantities are exploit...Show More

Implementation of Equivalent Circuit Model of Solid Oxide Fuel Cells for Multi-physics Transients Simulation Using Simulink/SimPowerSystems

Mingyu Jiang;Tian Lan;Yue Xia;Songhuai Du;Juan Su;Ying Chen

Year: 2020 | Conference Paper |

Research on the Capability Evaluation Method for New Energy Micro-grids to Participate in Power System Frequency Modulation

Weicheng Shen;Xiping Ma;Yanjun Dong;Songhuai Du;Juan Su;Fengzhan Zhao;Chen Yang

2019 6th International Conference on Information Science and Control Engineering (ICISCE)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
With the rapid development of new energy and renewable energy power systems, the urgency and importance of demand side management and system frequency modulation problems have become increasingly prominent after new energy micro-grids access traditional distribution networks. In order to solve the problem that the new energy micro-grids effectively participates in the power grid frequency modulati...Show More

Research on the Capability Evaluation Method for New Energy Micro-grids to Participate in Power System Frequency Modulation

Weicheng Shen;Xiping Ma;Yanjun Dong;Songhuai Du;Juan Su;Fengzhan Zhao;Chen Yang

Year: 2019 | Conference Paper |

A High Accuracy Detection Method of Voltage Flicker Signal Based on Time-Frequency Transform

Youzhen Liang;Xiping Ma;Fengzhan Zhao;Shuai Hao;Songhuai Du;Juan Su;Yu Zhang;Tingting Zhao

2019 9th International Conference on Power and Energy Systems (ICPES)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
High-accuracy and fast detection of voltage fluctuation and flicker is the basis of analyzing the flicker event and controlling its hazards. Here, a new method based on the Blackman-windowed short time Fourier transform (B-STFT) is proposed for the detection of voltage flicker signal. Extracting the rated frequency spectra achieved from the B-STFT amplitude matrix of the analyzed flicker signal, t...Show More

A High Accuracy Detection Method of Voltage Flicker Signal Based on Time-Frequency Transform

Youzhen Liang;Xiping Ma;Fengzhan Zhao;Shuai Hao;Songhuai Du;Juan Su;Yu Zhang;Tingting Zhao

Year: 2019 | Conference Paper |

Fault Prediction Method for Distribution Network Outage Based on Feature Selection and Ensemble Learning

Wen Zhang;Wanxing Sheng;Keyan Liu;Songhuai Du;Dongli Jia;Lijuan Hu

2018 5th International Conference on Information Science and Control Engineering (ICISCE)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
In this paper, a fault level prediction method for distribution network based on feature selection and ensemble learning is proposed to solve the problem of high, redundant and low accuracy rate of level prediction in power distribution network. First, by preprocessing the fault data of the distribution network, the 23 kinds of initial fault features for distribution networks involving weather, lo...Show More

Fault Prediction Method for Distribution Network Outage Based on Feature Selection and Ensemble Learning

Wen Zhang;Wanxing Sheng;Keyan Liu;Songhuai Du;Dongli Jia;Lijuan Hu

Year: 2018 | Conference Paper |

Research on Multi-time Scale Active Power Coordinated Control Strategy of Grid-connected Microgrid based on EEMD-MPC method

Lijuan Liu;Weicheng Shen;Wenxi Zhen;Guangru Zhang;Yu Zhang;Shuai Hao;Fengzhan Zhao;Songhuai Du;Juan Su

2018 International Conference on Power System Technology (POWERCON)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Grid-connected microgrid contains controllable micro-sources (CMS) which have different time characteristics. In order to dispatch the energy in microgrid more effectively, a multi-time scale control strategy based on model predictive control (MPC) method is proposed. MPC is a finite-time closed-loop optimization control algorithm. It can effectively cope with the variation of time and uncertainty...Show More

Research on Multi-time Scale Active Power Coordinated Control Strategy of Grid-connected Microgrid based on EEMD-MPC method

Lijuan Liu;Weicheng Shen;Wenxi Zhen;Guangru Zhang;Yu Zhang;Shuai Hao;Fengzhan Zhao;Songhuai Du;Juan Su

Year: 2018 | Conference Paper |

Research on multi-CPU cluster modeling and real-time simulation analysis of high proportion active distribution network

Keyan Liu;Wanxing Sheng;Dingyu Chen;Songhuai Du;Hua Ye;Juan Su;Yonghua Zhang

2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
High proportion of renewable energy was increased in the distribution network, which will face complex grid complex test and show the scale the diversity and complexity of the operating state. So that the evolution of Wind-photovoltaic-energy storage(Wind-PV-ES) hybrid network transient process is not clear. In the other hand, Transient simulation tool plays a significant role in obtaining a full ...Show More

Research on multi-CPU cluster modeling and real-time simulation analysis of high proportion active distribution network

Keyan Liu;Wanxing Sheng;Dingyu Chen;Songhuai Du;Hua Ye;Juan Su;Yonghua Zhang

Year: 2017 | Conference Paper |

Spectrum analysis method of residual current based on Hilbert-Huang transform

Jinli Wang;Yongmei Liu;Li Wang;Haiou Guan;Songhuai Du;Juan Su;Yating Cai;Tingting Fan

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
For the development of residual current protection device in low voltage network, aiming at complexity and uncertainty of residual current spectrum in the transient process of biological electric shock faults, the Hilbert-Huang transform is applied to analyze spectrum characteristics of each intrinsic mode function (IMF) component in residual current and determine the distribution of each IMF at d...Show More

Spectrum analysis method of residual current based on Hilbert-Huang transform

Jinli Wang;Yongmei Liu;Li Wang;Haiou Guan;Songhuai Du;Juan Su;Yating Cai;Tingting Fan

Year: 2016 | Conference Paper |

An electric shock impedance modeling method of living organisms in low-voltage distribution network

Yongmei Liu;Guangeng Liu;Wanxing Sheng;Songhuai Du;Jinli Wang

2016 China International Conference on Electricity Distribution (CICED)
Year: 2016 | Conference Paper |
Cited by: Papers (6)
In order to solve the refusing action and maloperation problem of electric shock of living organisms of Residual Current operated protective Device (RCD) in low voltage distribution network, an electric shock impedance modeling method is proposed in this paper. Trough building up the experiment test bed of electric shock of living organisms, electric shock voltage and current data are collected. A...Show More

An electric shock impedance modeling method of living organisms in low-voltage distribution network

Yongmei Liu;Guangeng Liu;Wanxing Sheng;Songhuai Du;Jinli Wang

Year: 2016 | Conference Paper |

Denoising of electrical shock fault signal based on empirical mode decomposition thresholding

Jinli Wang;Yongmei Liu;Xiaohui Han;Songhuai Du;Li Wang;Juan Su;Guangeng Liu;Haiou Guan

2016 China International Conference on Electricity Distribution (CICED)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
The electrical shock fault signal is very important to the protection and control of power system. However, in practical cases, the signal is usually corrupted by artifacts through the recording process. Thus, denoising of this type of electric shock fault signals seems necessary. In this paper, a novel method for denoising electriccal shock fault signals is proposed based on Empirical mode Decomp...Show More

Denoising of electrical shock fault signal based on empirical mode decomposition thresholding

Jinli Wang;Yongmei Liu;Xiaohui Han;Songhuai Du;Li Wang;Juan Su;Guangeng Liu;Haiou Guan

Year: 2016 | Conference Paper |

Study on identifying method of electric shock current amplitude based on Independent Component Analysis

Juan Su;Yue Xia;SongHuai Du;ChunLan Li;JunJie Zhang;LiMiao Zhang

2011 International Conference on Advanced Power System Automation and Protection
Year: 2011 | Conference Paper |
Cited by: Papers (2)
An identifying method of electric shock current amplitude based on Independent Component Analysis is proposed in this paper. The physical testing data of electrical shock current and summation leakage current, which were obtained from the physical electric shock experiment platform, were analyzed by the fast independent component analysis (ICA) model. The mean square error and correlation analysis...Show More

Study on identifying method of electric shock current amplitude based on Independent Component Analysis

Juan Su;Yue Xia;SongHuai Du;ChunLan Li;JunJie Zhang;LiMiao Zhang

Year: 2011 | Volume: 2 | Conference Paper |

Study on equivalent circuit of the human body and its transient response against electric shock

ChunLan Li;SongHuai Du;Yue Xia

2011 International Conference on Advanced Power System Automation and Protection
Year: 2011 | Conference Paper |
Cited by: Papers (4)
To solve the problems of the incorrect operation, the failure action and the low operational percentage on Residual Current Operated Devices (RCDs) in the domestic rural power distribution network, an amount of electric shock signals were demanded to study identifying and extracting method of electrical shock current. In this paper an equivalent circuit model of the human body against electric sho...Show More

Study on equivalent circuit of the human body and its transient response against electric shock

ChunLan Li;SongHuai Du;Yue Xia

Year: 2011 | Volume: 1 | Conference Paper |

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