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Through the results of a developed case study of information system
for low temperature geothermal energy, GIS to Support
Cost-effective Decisions on Renewable Sources addresses the issue
of the use of Geographic Information Systems (GIS) in evaluating
cost-effectiveness of renewable resource exploitation on a regional
scale. Focusing on the design of a Decision Support System, a
process is presented aimed to transform geographic data into
knowledge useful for analysis and decision-making on the economic
exploitation of geothermal energy. This detailed description
includes a literature review and technical issues related to data
collection, data mining, decision analysis for the informative
system developed for the case study. A multi-disciplinary approach
to GIS design is presented which is also an innovative example of
fusion of georeferenced data acquired from multiple sources
including remote sensing, networks of sensors and socio-economic
censuses. GIS to Support Cost-effective Decisions on Renewable
Sources is a useful, practical reference for engineers, managers
and researchers involved in the design of GIS, decision support
systems, investment planning/strategy in renewable energy and ICT
innovation in this field.
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