Comprehensive Review of Wind Energy in Malaysia: Past, Present, and Future Research Trends
Fuad Noman,Gamal Alkawsi,Dallatu Abbas,Ammar Ahmed Alkahtani,Sieh Kiong Tiong,Janaka Ekanayake +5 more
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TLDR
The current status of wind energy research in Malaysia is reviewed and different contributing factors such as potentiality and assessments, wind speed and direction modeling, wind prediction and spatial mapping, and optimal sizing of wind farms are extensively discussed.Abstract:
In recent years, wind energy has gained extensive attention in the recent years in various countries due to the high energy demand of energy and shortage of traditional electric energy sources. Because wind energy constitutes a cost effective and environmentally friendly source, it can significantly contribute toward the reduction of the ever-increasing carbon emissions. It is one of the fastest growing green technologies worldwide, with a total generation share of 564 GW as of the end of 2018. In Malaysia, wind energy has been a hot topic in both academia and green energy industry. In this paper, the current status of wind energy research in Malaysia is reviewed. Different contributing factors such as potentiality and assessments, wind speed and direction modeling, wind prediction and spatial mapping, and optimal sizing of wind farms are extensively discussed. This paper discusses the progress of all studies related to wind energy and presents conclusions and recommendations for improving wind energy research in Malaysia.read more
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Multistep short-term wind speed prediction using nonlinear auto-regressive neural network with exogenous variable selection
Fuad Noman,Gamal Alkawsi,Ammar Ahmed Alkahtani,Ali Q. Al-Shetwi,Sieh Kiong Tiong,Nasser Alalwan,Janaka Ekanayake,Ahmed Ibrahim Alzahrani +7 more
TL;DR: Results show that Nonlinear Auto-Regressive Exogenous (NARX) model outperformed all other methods, achieving an average mean absolute error (MAE) and root mean square error (RMSE) of 0.2205 and 0.3405 for multistep predictions, respectively.
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Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects
M. S. Hossain Lipu,Md. Sazal Miah,Mahammad A. Hannan,Aini Hussain,Mahidur R. Sarker,Afida Ayob,Mohamad Hanif Md Saad,Md. Sultan Mahmud +7 more
TL;DR: In this article, the authors present the recent progress of AI-enabled hybrid approaches for wind power forecasting emphasizing classification, structure, strength, weakness and performance analysis, and explore the various influential factors toward the implementations of AIbased hybrid wind power forecast including data preprocessing, feature selection, hyperparameters adjustment, training algorithm, activation functions and evaluation process.
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Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review
Shaban R. S. Aldhshan,Khairul Nizam Abdul Maulud,Wan Shafrina Wan Mohd Jaafar,Othman A. Karim,Biswajeet Pradhan +4 more
TL;DR: In this paper, the authors conducted a detailed literature review on several previous studies of energy consumption in the world, especially in Malaysia, and how geographical information system (GIS) methods have been used for the spatial assessment of energy efficiency.
Journal ArticleDOI
An innovative deflector system for drag-type Savonius turbine using a rotating cylinder for performance improvement
TL;DR: In this paper , a new design of deflector by utilizing a rotating cylinder to augment the overall performance of the drag-type Savonius turbine since the negative torque generated by the returning blade is the primary cause of its poor efficiency.
Wind Energy Potential: A Case Study Of Mersing, Malaysia
TL;DR: In this paper, the authors discussed the wind velocity and its contribution to the power of wind energy in Malaysia and suggested the potential of Mersing area for generating wind power, the main distribution selected is Weibull and Gama probability distribution.
References
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TL;DR: In this paper, the authors used the transition matrix approach of the Markov chain process to generate wind speed time series from two meteorological stations in Malaysia, and compared the observed wind speed and the synthetically generated ones.
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Assessment of economic viability for PV/wind/diesel hybrid energy system in southern Peninsular Malaysia
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TL;DR: In this article, the potential implementation of hybrid photovoltaic (PV)/wind turbine/diesel system in southern city of Malaysia, Johor Bahru, was analyzed.
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Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function
TL;DR: In this paper, with the help of 2-parameter Weibull distribution, the assessment of wind energy potentiality at Kudat and Labuan in 2006-2008 was carried out.