Haiyan (Helen) Lu

Dr. Haiyan (Helen) Lu

School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Ultimo, NSW 2007, Australia

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2012 in Renewable Energy
Verified
Journal Article
Closed access
ZGZhenhai Guo
Zhenhai Guo
WZWeigang Zhao
Weigang Zhao
HLHaiyan (Helen) Lu
Haiyan (Helen) Lu
JWJianzhou Wang
Jianzhou Wang

4 October 2019 in Chemical Communications
Verified
Journal Article
Closed access
PDF file
WZWen-Long Zhao
Wen-Long Zhao
MLMeng Li
Meng Li
HLHaiyan (Helen) Lu
Haiyan (Helen) Lu
CCChuan-Feng Chen
Chuan-Feng Chen
This review summarizes the recent research progress of helicenes and their derivatives with circularly polarized luminescence properties.

LBLu Bai
Lu Bai
Jianzhou WangJianzhou Wang
Jianzhou Wang
XMXuejiao Ma
Xuejiao Ma
HLHaiyan (Helen) Lu
Haiyan (Helen) Lu
Air pollution is defined as a phenomenon harmful to the ecological system and the normal conditions of human existence and development when some substances in the atmosphere exceed a certain concentration. In the face of increasingly serious environmental pollution problems, scholars have conducted a significant quantity of related research, and in those studies, the forecasting of air pollution has been of paramount importance. As a precaution, the air pollution forecast is the basis for taking effective pollution control measures, and accurate forecasting of air pollution has become an important task. Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and numerical forecasting methods. More recently, some hybrid models have been proposed, which can improve the forecast accuracy. To provide a clear perspective on air pollution forecasting, this study reviews the theory and application of those forecasting models. In addition, based on a comparison of different forecasting methods, the advantages and disadvantages of some methods of forecasting are also provided. This study aims to provide an overview of air pollution forecasting methods for easy access and reference by researchers, which will be helpful in further studies.

1 October 2011 in Knowledge-Based Systems
Verified
Journal Article
Closed access
ZGZhen-Hai Guo
Zhen-Hai Guo
JWJie Wu
Jie Wu
HLHaiyan (Helen) Lu
Haiyan (Helen) Lu
JWJian-Zhou Wang
Jian-Zhou Wang

1 April 2018 in Applied Energy
Verified
Journal Article
Closed access
JSJingjing Song
Jingjing Song
JWJianzhou Wang
Jianzhou Wang
HLHaiyan (Helen) Lu
Haiyan (Helen) Lu

26 August 2003 in IEEE Transactions on Power Electronics
Verified
Journal Article
Closed access
HLHaiyan (Helen) Lu
Haiyan (Helen) Lu
Jian ZhuJian Zhu
Jian Zhu
SHS.Y.R. Hui
S.Y.R. Hui
This paper presents practical techniques for determining stray capacitances in a two-winding high frequency transformer for circuit simulation and computer-aided design purposes. These techniques fall into two categories: The two-port network approach; and the step-response approach. The first approach can be employed for high frequency transformer circuit models with the effect of stray capacitances modeled as a /spl pi/-shape network of three lumped stray capacitances. The second approach is useful for the transformer circuit model with the overall effects of stray capacitances modeled as lumped stray-capacitance connected cross the primary side. These techniques have been verified in the modeling and numerical simulation of a 500 W 25 kHz two winding E-core transformer. The merits and limitations of these techniques are also discussed.