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GIS to Support Cost-effective Decisions on Renewable Sources

SBAST: GIS TO SUPPORT COST EFFCTV DCSNS RENEWABLE SRCS

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B2B GT

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B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

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Duration

Duration Unit Of Measure

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Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Contents.
Abbreviations.
1: Preliminary Study.
2: Decision Environment of Renewable Energy: The Case of Geothermal Energy.
3: GIS-Supported Decision Making.
4: Case Study.
5: GIS-Supported Decision Making for Low-Temperature Geothermal Energy in Central Italy.
6: Data Collection.
7: Feature Analysis: Selecting Decision Criteria.
8: Decision Analysis: Choosing the Right Plant.
9: Regional Atlas Supporting the Decision-Making Process.
10: Conclusive Remarks.

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GIS to Support Cost-effective Decisions on Renewable Sources