Towards Geo Decision Support Systems For Renewable Energy Outreach
Details
Earth is affected by various natural phenomena such as natural calamities, disasters and human actions like urbanization, pollution, etc. One such major issue is the exhaustive usage of fossil energy and its adverse impact on our environment. Renewable energy is a natural source of energy that has substantial benefits. Knowledge about solar radiation data and its geographical presence determine potential solar energy investments and operational strategies. Thus, the objective of this research is to set forth the software architecture of Renewable Energy Decision Support System (REDSS). Significant part of this research process is focused on investigating the technologies like Datawarehousing, Extract Transform and Load to store and process huge amount of historical data and Business Intelligence for structuring the data and reporting the derived knowledge. Therefore, this work has aimed to emphasize and imbibe the above technologies to propose one complete REDSS for evaluating potential use of energy sources. As a prototype, this book also presents a low cost renewable energy explorer based on the proposed REDSS concept and freely available data.
Autorentext
Naveen Sidda, has a PhD in Location based Information Technology. Have more than five years of research and managerial experience in Geo products. His objective is to create and develop Geo products for making "local knowledge globally available" and "groundtruth made easy" for common public to expert users.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659644252
- Sprache Englisch
- Größe H220mm x B150mm x T9mm
- Jahr 2014
- EAN 9783659644252
- Format Kartonierter Einband
- ISBN 3659644250
- Veröffentlichung 25.11.2014
- Titel Towards Geo Decision Support Systems For Renewable Energy Outreach
- Autor Naveen Sidda , Francisco Javier López Pellicer , Francisco Javier Zarazaga Soria
- Untertitel REDSS
- Gewicht 209g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 128
- Genre Informatik