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Maya007

Spatial planning using Method TOPSIS

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Hello all,

 

Can someone help me with the multi criteria evaluation to select a suitable site for wind farms using TOPSIS in GIS? I see mostly AHP method being used to find weights of factors, i want to use some other method instead of AHP to find factor weights.

Please add in your suggestions :) 

Thanks in advance,

Maya

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Please find the article in attached. 

 

1)Wind farms suitability location using geographical information system
(GIS), based on multi-criteria decision making (MCDM) methods: The
case of continental Ecuador (4.3 MB) 
https://mega.nz/#!jVtWTYLa Pass: !pBG9Fb64Dzx4zI5sRCy89_7WMOTBjBSBCmwiNa2WBhY

2) GIS-BASED METHOD FOR WIND FARM LOCATION MULTI-CRITERIA ANALYSIS (777 KB)
https://mega.nz/#!OM90VabQ Pass: !rfcMPT9F8WF2U-IPDh5BS972Sjq4Rtbm2PhVXevg2MA

3) GIS based approach for suitable Site Selection of Wind Farms in North-East India. (442 KB)
https://mega.nz/#!KMsUWAhJ Pass: !uUmegHxayq0XNrseEZERwFGdr_dCU1CYjrhofsEYr0s

Image result for Assessment of Energy Sources Using GIS-Springer (2017)

This volume is a comprehensive guide to the use of geographic information systems (GIS) for the spatial analysis of supply and demand for energy in the global and local scale. It gathers the latest research and techniques in GIS for spatial and temporal analysis of energy systems, mapping of energy from fossil fuels, optimization of renewable energy sources, optimized deployment of existing power sources, and assessment of environmental impact of all of the above. 

Author Lubos Matejicek covers GIS for assessment a wide variety of energy sources, including fossil fuels, hydropower, wind power, solar energy, biomass energy, and nuclear power as well as the use of batteries and accumulators. The author also utilizes case studies to illustrate advanced techniques such as multicriteria analysis, environmental modeling for prediction of energy consumption, and the use of mobile computing and multimedia tools. 

Assessment of Energy Sources Using GIS-Springer (2017).pdf (34.4 MB)
https://mega.nz/#!idk0zSJQ Pass: !86sM22doO6CVhwn1gbUnGiwa_dZn1DVfAX6zSD09Ur4

 

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