ANN and GIS-assisted methodology for wind resource assessment (WRA) in Sarawak

QR Code

ANN and GIS-assisted methodology for wind resource assessment (WRA) in Sarawak

Wind energy is a reliable, clean source and has emerged as one of the dependable, and the best performing developing renewable energy around the world. It has insignificant environmental impacts, compared to other energy sources. In Sarawak, Malaysia, wind resource varies depending on the location....

Full description

Bibliographic Details
Main Authors:	Lawan, S.M, Abidin, W.A.W.Z., Lawan, A.M., Mustapha, M., Bichi, S.L.
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2015
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/12039/ http://ir.unimas.my/id/eprint/12039/1/No%2023%20%28abstrak%29.pdf

Similar Items

The Status Of Wind Resource Assessment(Wra) Techniques, Wind Energy Potential and Utilisation In Malaysia and Other Countries
by: Lawan, S.M, et al.
Published: (2013)

Development of Wind Mapping Based on Artificial Neural Network (ANN) for Energy Exploration in Sarawak
by: Lawan, S.M., et al.
Published: (2014)

Reviewing Wind Speed and Energy Distribution in Malaysia
by: Lawan, S.M, et al.
Published: (2013)

Statistical Modelling of Long-Term Wind Speed Data
by: Lawan, S.M, et al.
Published: (2015)

An Overview of Energy Sector and Wind Power Potential in Malaysia
by: S.M, Lawan, et al.
Published: (2014)

Statistical Modeling of Long-Term Wind Speed Data
by: S.M., Lawan, et al.
Published: (2015)

Reviewing Wind Speed and Energy Distribution in Malaysia
by: S. M., Lawan, et al.
Published: (2014)

Different Models of Wind Speed Prediction; A Comprehensive Review
by: Lawan, S. M., et al.
Published: (2014)

Recent Progress and Development of Wind Energy Potential in Malaysia: A Review
by: Lawan, S. M., et al.
Published: (2013)

Modified spline functions and chebyshev polynomials for the solution of hypersingular integrals problems
by: Bichi, Lawan Sirajo
Published: (2015)

Modeling of Wind Energy Potential for Sarawak: Conceptual Design
by: S. M., Lawan, et al.
Published: (2013)

The best interpolation method for wind speed by using GIS
by: Siti Nur’aisyah, Jamalludin
Published: (2019)

Classification of Agarwood using ANN
by: M. S., Najib, et al.
Published: (2012)

Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES
by: Muyeen, S.M., et al.
Published: (2014)

Wind power generation via ground wind station and topographical feedforward neural network (T-FFNN) model for small-scale applications
by: Salisu Muhammad, Lawan, et al.
Published: (2017)

Assessment of Solar and Wind Energy Resources at Five Typical Locations in Sarawak
by: Jakhrani, A.Q., et al.
Published: (2012)

Comparative Prediction of Red Alga Biosorbent Performance in Dye Removal using Multivariate Models of Response Surface Methodology (RSM) and Artificial Neural Network (ANN)
by: Nadiah, Mokhtar, et al.
Published: (2018)

Classification of agarwood grades using ANN
by: M. S., Najib, et al.
Published: (2011)

Wind energy potential in kuching areas of sarawak for small-scale power application
by: Salisu Muhammad, Lawan, et al.
Published: (2015)

Stochastic Generation Of Hourly Wind Speed Time Series.
by: A, Shamshad, et al.
Published: (2003)

A Methodology for Wind Energy Evaluation in Complex Terrain Regions of Sarawak
by: Wan Zainal Abidin, W.A
Published: (2015)

Evaluation Of Wind Turbine Potentiality At Windy Sites In Malaysia.
by: Bawadi, M. A., et al.
Published: (2003)

Artificial neural network (ANN)
by: Kang, Miew How
Published: (2011)

Wind energy
by: Beig, A., et al.
Published: (2015)

Autoregressive Integrated Moving Average Model(Arima)For Forecasting Wind Speed.
by: A, Shamshad, et al.
Published: (2003)

Wind Characteristics Influencing Wind Energy.
by: E, P Chiang, et al.
Published: (2003)

Development of census-GIS methodology in Pakistan
by: Syed Nawaz ul Huda,, et al.
Published: (2013)

Wind Characteristics Influencing Wind Energy.
by: Chiang, E.P., et al.
Published: (2003)

Comparative study of Pilot Symbol Assisted (PSA) beamforming techniques for (3G) WCDMA reverse link
by: N.S., Kamel, et al.
Published: (2008)

Metaheuristic algorithms applied in ANN salinity modelling
by: Khudhair, Zahraa S., et al.
Published: (2024)

A New Thermographic NDT for Condition Monitoring of Electrical Components Using ANN with Confidence Level Analysis
by: A. S. N., Huda, et al.
Published: (2014)

Classification for ammonia in water by specific concentration using artificial neural network (ANN)
by: Muhamad Faruqi, Zahari, et al.

EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Open Space Mathematical Model for the Mobile Satellite L-Band Signal in Sarawak using Global Positioning System Technology
by: Voon Pai, B., et al.
Published: (2011)

Wind characteristics and outdoor thermal comfort assessment in east Malaysia
by: Hanipah, M. H., et al.
Published: (2017)

Leveraging hybrid ANN–AHP to optimize cement industry average inventory levels
by: Edy, Fradinata, et al.
Published: (2024)

GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID
by: Naharudin, N., et al.
Published: (2016)

Harnessing ANN for a secure environment
by: Ling, Mee Hong *, et al.
Published: (2010)

Design Considerations for Wind Turbine Systems
by: Simoes, M., et al.
Published: (2017)