Abstract : This paper presents an integrated and novel service environment for real-time interactions between users, as well as enhanced visualization and decision support services over extremely large volumes of heterogeneous Renewable data sources. The integrated visual analytics methods, allow energy analysts to incorporate their expert knowledge into the analysis, so as to dynamically investigate the observed events and locations, and accurately identify the preferable results. The goal of visual analytics research is to turn the information overload into an opportunity by enabling decision-makers to examine this massive amount of information to make effective decisions.
Type de document :
Communication dans un congrès
Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos; Spyros Sioutas; Christos Makris. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-437, pp.330-339, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44722-2_35〉
https://hal.inria.fr/hal-01391060
Contributeur : Hal Ifip
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Soumis le : mercredi 2 novembre 2016 - 17:20:15
Dernière modification le : vendredi 1 décembre 2017 - 01:16:37
Document(s) archivé(s) le : vendredi 3 février 2017 - 16:00:45
Votis Konstantinos, Yiannis Karras, Jörn Kohlhammer, Martin Steiger, Dimitrios Tzovaras, et al.. Enhanced Visual Analytics Services for the Optimal Planning of Renewable Energy Resources Installations. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos; Spyros Sioutas; Christos Makris. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-437, pp.330-339, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44722-2_35〉. 〈hal-01391060〉
