Hongfei Xiao

University of Macau

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Co-Authors

Deqin Lin

City University of Macau

Weidong Li

University of Shanghai for Science and Technology

Tao Ding

Xi'an Jiaotong University

Wei Li-ming

Shanghai Jiao Tong University

Xueqiu He

Lanzhou University

Shiyu Li

University of Macau

Bin Peng

University of Shanghai for Science and Technology

Huanxian Shi

Shaanxi University of Chinese Medicine

Tao Tang

PLA Information Engineering University

WU Ai-you

Hunan University of Science and Technology

Cooperative Institutions

China University of Mining and Technology

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Dalian University of Technology

University of Science and Technology of China

Huazhong University of Science and Technology

Chengdu University of Technology

Shaanxi University of Chinese Medicine

Wuhan University of Technology

Chongqing University

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Parameterized and centralized secondary voltage control for autonomous microgrids

International Journal of Electrical Power & Energy Systems (2021)

Hongfei Xiao Guangyu Liu Jinfeng Huang Shuaiqing Hou Ling Zhu

Voltage controller

10.1016/j.ijepes.2021.107531

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Citations (13)

Study on the propagation rule of electromagnetic emission in the course of coal or rock outburst

Journal of North China Institute of Science and Technology (2005)

Hongfei Xiao

From Maxwell's equations, the propagation rule of EME(electromagnetic emission) radiated from coal or rock medium in the course of coal or rock outburst is studied and analyzed. The study shows that during numerical simulation of EME propagation, we can idealize the source of EME the vector addition of horizontal electric and magnetic dipoles. And the formulae for calculating the space distribution of EME in the coal or rock medium are given, which provide the theoretical and calculating base for the developing , direction and orientation of EME supervising instruments.

Course (navigation)

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Optimization for prediction index of coal and gas outburst base on gray associated analysis

Coal science and technology (2005)

WU Ai-you Yao Jian Hongfei Xiao

Gray (unit)

Base (topology)

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Citations (3)

Research on output characteristic of a new of ring and tunable doped-Er fiber laser

Optical Technique (2007)

Hongfei Xiao

The connection among a tune range of wavelength and inner stress and elongation coefficient in the fiber grating is analyzed theoretically.A ratio of couple of optimal laser output and the relativity between the compress length of the fiber grating and the wavelength as well as the influence of line-width and a tune area of the laser spectrum at the different radio of couple to laser output are experimentally studied for ring and tunable doped-Er fiber grating.The best output power of the fiber laser is obtained when the radio of couple of laser output is 9 to 1,and the maximal tune range of wavelength of 7.85 nm is got when the radio of couple of laser output is 7 to 3.

Fiber Bragg Grating

Ring laser

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Neutrino oscillation in vacuum

Chinese journal of atomic and molecular physics (2004)

Hongfei Xiao

We have discussed the basic principle and the experiments of neutrino mixing and neutrino oscillation, and investigated quantificationally the theory of neutrino oscillation in vacuum, the neutrino oscillation probability and the CP violation effects.

Oscillation (cell signaling)

CP violation

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Research on One-Dimensional Chaos Maps for Fuzzy Optimal Selection Neural Network

Lecture notes in computer science (2010)

Tao Ding Hongfei Xiao Jin-Bao Liu

Logistic map

Sine

10.1007/978-3-642-13278-0_38

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Citations (2)

Bayesian peak identification method for low count rate gamma spectrum under short-time measurement based on physical priors

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2024)

Heyi Tan Shengqing Xiong Qingxian Zhang Xiaozhe Li Zhiqiang Cheng

Identification

10.1016/j.nima.2024.169662

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Citations (1)

Allocation of Congestion Cost Based on Aumann-Shapley Value in Bilateral Transaction Framework

Yong Yang Hongfei Xiao

This paper proposes a method of allocation for congestion cost in the bilateral transaction framework based on Aumann-Shapley value. The method uses the A-S value of an infinite number of players in the league game, considering the situation of each congested line decreasing the power at the same time, and it is more accurate and quickly to calculate the congestion cost for each transaction through the quadrate formula. A numerical example shows that the proposed method is fair, reasonable, and the error is small, making it easily to allocate the congestion cost directly to each transaction.

Shapley Value

Value (mathematics)

Cost allocation

10.1109/appeec.2012.6307490

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Citations (2)

Chaotic Prediction Method of Short-Term Wind Speed

Advances in intelligent and soft computing (2011)

Hongfei Xiao Tao Ding

Wind Power Forecasting

Chaos theory

10.1007/978-3-642-25194-8_58

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Theoretical Method and Data Validation of Time Series Residual Analysis Based on Iterative Rnn Model

Hongfei Xiao Deqin Lin Shaoming Chen Shiyu Li

Currently, it is commonly believed that the residuals, also known as white noise, do not contain useful information, so that further analyses on them are often considered unnecessary. However, this paper raises doubts about this notion and believes that the residuals still contain valuable information, which traditional methods find difficult to get extracted. Therefore, to address this issue, based on the efficient market hypothesis, this paper first established an iterative RNN model, and used the model to make analyses on the residuals, in which, Bitcoin prices were selected as the research sample. Second, this paper managed to make predictions on subsequent Bitcoin prices, and make comparison between the predicted ones and the actual ones. It was eventually found that the iterative RNN model succeeded analyzing the residuals, with the prediction accuracy improved significantly. Subsequently, this paper conducted the robustness testing, which indicates that the iterative RNN model was suitable not only for cryptocurrency markets but also for stock markets. In short, this research indicates that the iterative RNN model surpasses traditional prediction models in terms of information absorption and analyses, and the approach used in the research is not only applicable to iterative RNN model but also to other similar models, such as iterative LSTM models, iterative CNN models, etc.

10.2139/ssrn.4586333

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