Li Yang

University of Cambridge

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H-Index

i-10 index

Research Trends

Author Order

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Co-Authors

Herui Cui

North China Electric Power University

Xinpeng Li

University of Science and Technology of China

Cuiru Wang

Zhengzhou University

Shih-sen Chang

China Medical University

Xiangming Wen

Beijing University of Posts and Telecommunications

Zhaoming Lu

Beijing University of Posts and Telecommunications

Chi Kin Chan

Osaka University

Peng Wang

North China Electric Power University

Yong Li

Tsinghua University

Shih-Sen Chang

China Medical University

Cooperative Institutions

North China Electric Power University

Tsinghua University

Beijing University of Posts and Telecommunications

Peking University

Huazhong University of Science and Technology

University of Science and Technology of China

Hong Kong Polytechnic University

Beijing University of Technology

China Medical University

Beijing Institute of Technology

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Research Field

Application of Online SVR in Very Short-Term Load Forecasting

International Review of Electrical Engineering (IREE) (2013)

Li Yang Xueping Gu

Very short-term load forecasting (VSTLF) plays a very important role in an efficient planning and operation of power systems. In order to overcome the disadvantages of inefficiency in online settings existed in support vector machines, online SVR is first introduced into VSTLF and used to construct a 5-minute load forecasting model in this paper. The proposed method can efficiently update the trained forecasting model whenever a sample is added to or removed from the training set without retraining the whole training data from scratch every time. Moreover, it in fact forms a negative feedback with the use of the rolling window technique, which greatly improves the prediction accuracy. The effectiveness of the proposed method is validated by the simulation results on the real-world dataset obtained from NYISO website

Retraining

Sample (material)

Scratch

Predictive power

10.15866/iree.v8i1.1711

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Citations (8)

The Wrong Analysis of the Price Forecast Model Based on Fractal Theory in Commodity Price Forecasting

Herui Cui Li Yang

The fractal theory is beginning from the 1970s, which take the geometrical morphology with the characteristics of non-regular and self-similar in nature and real life as the research object. Application field of this model is very extensive, and in economic management, as commodity price exhibits the characteristics of non-regular and self-similar to a certain extent, so this model is used as new prediction model in price forecasting of commodity. But this model has some problems, this paper uses empirical analysis to show the shortcomings of this method in commodity price forecast.

Research Object

Commodity market

10.1109/ssme.2009.31

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Citations (3)

Research and Application of Comprehensive Evaluation Index System in Micro-Grid’s Construction and Operation

Applied Mechanics and Materials (2014)

Shan Shan Wu Peng Wang Li Yang Hui Yu

In order to evaluation the operation of micro-grid comprehensively, this paper builds an index system based on our current definitions and technical characteristics of the micro-grid. There are 20 base evaluation indexes and uses analytic hierarchy process (AHP) to explain the index system from both technical and economic aspects. Through using the index system to some real region, it has been proved reliably that the index system could reflect the advantages and disadvantages of micro-grid operation intuitively. The proposed indexes have been included State Grid Company of micro-grid technical standards.

10.4028/www.scientific.net/amm.672-674.1301

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Find Cyclical Data Sets in Database Based on Ant Colony Algorithm

Cuiru Wang Li Yang Huawei Mei

We proposed a new data mining algorithm on finding the cyclical data sets in database based on basic ant colony algorithm and definition of cyclical data sets. The algorithm improved the movement mode of ants in ant colony algorithm; making it no longer a global optimization algorithm, but has a strong classification ability and memory capacity, and reduce the number of the search on data item sets. Compared with other cyclical data item sets mining algorithm, its efficiency has greatly improved, so the algorithm can actually be used for cyclical data item sets mining projects. By changing the number of colony's ants, the cyclical data item set search capabilities of the algorithm can be optimized, so as to further enhance the efficiency of the algorithm. In this paper, we apply the algorithm in the electric power dispatching automation system, to find the alarm cyclical data sets. We find that the algorithm has very good efficiency and it provides important data information for recurrence of incidents and retrospective of incidents of electric power dispatching automation system.

Algorithm design

Data set

10.1109/iita.2009.63

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Citations (1)

SDN-Enabled Communication Network Framework for Energy Internet

Journal of Computer Networks and Communications (2017)

Zhaoming Lu Chunlei Sun Jinqian Cheng Li Yang Yong Li

To support distributed energy generators and improve energy utilization, energy Internet has attracted global research focus. In China, energy Internet has been proposed as an important issue of government and institutes. However, managing a large amount of distributed generators requires smart, low-latency, reliable, and safe networking infrastructure, which cannot be supported by traditional networks in power grids. In order to design and construct smart and flexible energy Internet, we proposed a software defined network framework with both microgrid cluster level and global grid level designed by a hierarchical manner, which will bring flexibility, efficiency, and reliability for power grid networks. Finally, we evaluate and verify the performance of this framework in terms of latency, reliability, and security by both theoretical analysis and real-world experiments.

Microgrid

10.1155/2017/8213854

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Citations (14)

Approximation theorems for total quasi-ϕ-asymptotically nonexpansive mappings with applications

Applied Mathematics and Computation (2011)

Shih-sen Chang Joseph H. W. Lee Chi Kin Chan Li Yang

Weak convergence

10.1016/j.amc.2011.08.036

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Citations (29)

Application of data mining based on concept lattice in inventory management

Li Yang

During the course of realizing multi-objective optimization,the method of data mining based on concept lattice was used.Gave the method of converting inventory model to the concept lattice model,presented and the incremental construction algorithm of a concrete concept lattice.For the method of data mining based on concept lattice,proposed the definition of the association rule in concept lattice,and extracted the hidden knowledge of inventory model.For the realization of multi-objective optimization of inventory model,this approach can provide the decision support.

Lattice (music)

Lattice Miner

Source

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Citations (1)

The Application of the Ant Colony Pheromones in Intelligent Learning

International Forum on Information Technology and Applications (2009)

Cuiru Wang Li Yang

We used the ant colony pheromones in the intelligent learning. Proposed an intelligence network based on ant colony pheromones and TSP problem. The ant colony pheromones was in hierarchical distribution in the network, Recording of the learning and related information by the residual pheromones, so realized intelligent decision. We use the path choosing in the ant colony algorithm as decision of the network, use the pheromones updating in the ant colony algorithm as the intelligent learning of the intelligent network .Because every cycle in the ant colony algorithm was related with the last, so add the begin point and the end point the last path to the input of the network. At the end of the paper, we used ant colony pheromones and the intelligent network based on ant colony pheromones on SCADA systems, achieved good results.

Ant colony

10.1109/ifita.2009.158

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Citations (3)

Notes on "Local α-double diagonally dominance and sufficent conditions of nonsingular H-matrix"

Basic Sciences Journal of Textile Universities (2008)

Li Yang

By the analysis of sufficient condition of the paper of Local α-double diagonally dominance and sufficent conditions of nonsingular H-matrix,it was pointed out that the first three inequalities include the fourth inequality.On this base,this concept of local(α,β,γ)-doubly diagonally dominant matrix with a nonzero elements chain is introduced and a new criterion for nonsingular H-matrix is presented.

Diagonally dominant matrix

Dominance (genetics)

Matrix (chemical analysis)

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Evaluation and Sensitivity Study of Uniform Kernel Method in Atmospheric 41Ar Dispersion Against the Belgian Field Experiment

Yuanzi Sun Yujie Zhang Zhaoyang Wang Li Yang Xinpeng Li

Abstract The Uniform kernel is an effective kernel density estimator used in the Lagrangian Particle Dispersion Model (LPDM), estimating the dispersion trajectory of radionuclides, and determining radioactive concentration to assess environmental contamination levels. This method significantly decreases computational resources compared to the traditional box counting concentration calculation in LPDM, serving as a fast and accurate tool to ensure effective nuclear emergency response in the early stages. In this paper, the effectiveness of the Uniform kernel is evaluated systematically via the measurements from eight gamma dose rate monitoring sites deployed at the Belgian field experiment by coupling the California Meteorological Model (CALMET) and the Lagrangian Particle Model (LAPMOD). Sensitivity studies are performed on three important parameters, including bandwidths multiplication factors, horizontal grid size, and particle numbers. The results demonstrate satisfactory agreement between simulations and measurements, with acceptable statistical metrics. The sensitivity analysis highlights the significant impact of bandwidths multiplication factors on the Uniform kernel, summarizing appropriate parameters for applying the Uniform kernel in small-scale dispersion for the nuclear power plant scenarios.

Kernel (algebra)

10.1115/icone31-135061

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