Site selection decision framework for photovoltaic hydrogen production project using BWM-CRITIC-MABAC: A case study in Zhangjiakou

2021 ◽  
pp. 129233
Author(s):  
Yunna Wu ◽  
Zhongqing Deng ◽  
Yao Tao ◽  
Linwei Wang ◽  
Fangtong Liu ◽  
...  
Keyword(s):  
Hydrogen Production ◽  
Site Selection ◽  
Decision Framework ◽  
Selection Decision

Cloud-based decision framework for waste-to-energy plant site selection – A case study from China

2016 ◽  
Vol 48 ◽  
pp. 593-603 ◽  
Author(s):  
Yunna Wu ◽  
Kaifeng Chen ◽  
Bingxin Zeng ◽  
Meng Yang ◽  
Shuai Geng
Keyword(s):  
Site Selection ◽  
Waste To Energy ◽  
Decision Framework ◽  
Energy Plant ◽  
Plant Site

Survey Site Selection Based on the Spatial Sampling Theory: A Case Study in Xiamen Island

2010 ◽  
Vol 12 (3) ◽  
pp. 358-364 ◽  
Author(s):  
Liling GAO ◽  
Xinhu LI ◽  
Cuiping WANG ◽  
Quanyi QIU ◽  
Shenghui CUI ◽  
...  
Keyword(s):  
Site Selection ◽  
Sampling Theory ◽  
Spatial Sampling

A Case Study on Experiment Site Selection for PV Energy Generation Forecast

2020 ◽  
Author(s):  
Huang Yu Hsiang ◽  
Tseng Sheng Yuan ◽  
Ping Wang ◽  
Lin Wen Hui ◽  
Lin Hsiao Chung
Keyword(s):  
Site Selection ◽  
Energy Generation ◽  
Selection For

Combining AHP with GIS for landfill site selection: A case study in the Lake Beyşehir catchment area (Konya, Turkey)

2010 ◽  
Vol 30 (11) ◽  
pp. 2037-2046 ◽  
Author(s):  
Şehnaz Şener ◽  
Erhan Şener ◽  
Bilgehan Nas ◽  
Remzi Karagüzel
Keyword(s):  
Site Selection ◽  
Catchment Area ◽  
Landfill Site ◽  
Landfill Site Selection ◽  
Lake Beysehir

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

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