Abstract : The increasing complexity of decision making environments requires new approaches that can improve the efficiency, the effectiveness and the quality of the decision making processes. Cloud-based Decision Support Ecosystems (DSE) create the premises for the next generation of DSS, by modeling dynamic system architectures and customizable decision layers that instantiate a new level of independence at end-user level. End-users are able to connect new data sources to the decision making processes without assistance from software developers, while maintain consistency, to build more relevant decision environments. The authors discuss key challenges associated with the DSE and present the design premises of a cloud-based DSE for renewable energy providers. The paper builds upon the PhD research carried out within the INDESEN Project, funded by Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetării, Dezvoltării si Inovarii (UEFISCDI) through the Romanian Partnership Program.
Luis M. Camarinha-Matos; Thais A. Baldissera; Giovanni Di Orio; Francisco Marques. 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-450, pp.405-412, 2015, Technological Innovation for Cloud-Based Engineering Systems. 〈10.1007/978-3-319-16766-4_43〉
https://hal.inria.fr/hal-01343509
Contributeur : Hal Ifip
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Soumis le : vendredi 8 juillet 2016 - 15:08:31
Dernière modification le : vendredi 8 juillet 2016 - 15:33:07
Ioana Stănescu, Antoniu Ştefan, Florin Filip. Cloud-Based Decision Support Ecosystem for Renewable Energy Providers. Luis M. Camarinha-Matos; Thais A. Baldissera; Giovanni Di Orio; Francisco Marques. 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-450, pp.405-412, 2015, Technological Innovation for Cloud-Based Engineering Systems. 〈10.1007/978-3-319-16766-4_43〉. 〈hal-01343509〉
