Por Lip Yee
Publications
14
h-index
9
Citations
536
Highly Influential Citations
8
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Predicting the wind power density based upon extreme learning machine
Kasra Mohammadi, Shahaboddin Shamshirband, Por Lip Yee, D. Petkovic, M. Zamani, Sudheer Ch
Engineering
15 June 2015
Precise predictions of wind power density play a substantial role in determining the viability of wind energy harnessing. In fact, reliable prediction is particularly useful for operators and… Expand
67 Citations
2
A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation
Shahaboddin Shamshirband, Kasra Mohammadi, Por Lip Yee, D. Petkovic, A. Mostafaeipour
Engineering
1 December 2015
In this paper, the extreme learning machine (ELM) is employed to predict horizontal global solar radiation (HGSR). For this purpose, the capability of developed ELM method is appraised statistically… Expand
95 Citations
2
Extreme learning machine for prediction of heat load in district heating systems
Shahin Sajjadi, Shahaboddin Shamshirband, +5 authors A. Mostafaeipour
Engineering
15 June 2016
Abstract District heating systems are important utility systems. If these systems are properly managed, they can ensure economic and environmental friendly provision of heat to connected customers.… Expand
82 Citations
1
Using ANFIS for selection of more relevant parameters to predict dew point temperature
Kasra Mohammadi, Shahaboddin Shamshirband, D. Petkovic, Por Lip Yee, Zulkefli Mansor
Environmental Science
5 March 2016
Abstract In this research work, for the first time, the adaptive neuro fuzzy inference system (ANFIS) is employed to propose an approach for identifying the most significant parameters for prediction… Expand
34 Citations
1
Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model
Shahaboddin Shamshirband, Kasra Mohammadi, +4 authors E. Zalnezhad
Mathematics
1 April 2016
Diffuse solar radiation is a fundamental parameter highly required in several solar energy applications. Despite its significance, diffuse solar radiation is not measured in many locations around the… Expand
72 Citations
1
The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste
M. Aghbashlo, Shahaboddin Shamshirband, M. Tabatabaei, Por Lip Yee, Yaser Nabavi Larimi
Engineering
2016
In this study, a novel method based on Extreme Learning Machine with wavelet transform algorithm (ELM-WT) was designed and adapted to estimate the exergetic performance of a DI diesel engine. The… Expand
40 Citations
1
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Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm
Eiman Tamah Al-Shammari, Afram Keivani, +4 authors Sudheer Ch
Engineering
15 January 2016
District heating systems operation can be improved by control strategies. One of the options is the introduction of predictive control model. Predictive models of heat load can be applied to improve… Expand
69 Citations
PDF
Comparative study of clustering methods for wake effect analysis in wind farm
Eiman Tamah Al-Shammari, Shahaboddin Shamshirband, +4 authors Ž. Ćojbašić
Mathematics
15 January 2016
Wind energy poses challenges such as the reduction of the wind speed due to wake effect by other turbines. To increase wind farm efficiency, analyzing the parameters which have influence on the wake… Expand
28 Citations
PDF
Support vector machine-based exergetic modelling of a DI diesel engine running on biodiesel–diesel blends containing expanded polystyrene
Shahaboddin Shamshirband, M. Tabatabaei, M. Aghbashlo, Por Lip Yee, D. Petkovic
Engineering
5 February 2016
Abstract In the present study, four Support Vector Machine-based (SVM-based) approaches and the standard artificial neural network (ANN) model were designed and compared in modelling the exergetic… Expand
36 Citations
Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment
Nurul Ainaa Muhamad Shaari, Ang Tan Fong, Por Lip Yee, Liew Chee Sun
Computer Science
1 March 2017
TLDR
A dynamic pricing scheme that provides fairness among the service providers in a multi-cloud environment is proposed that is able to reduce the cost of the end user when running compute-intensive and data-intensive jobs in the multi- cloud environment.Expand
6 Citations
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Recommended Authors
Shahaboddin Shamshirband
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D. Petkovic
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