Konstantinos, Votis ; Karras, Yiannis ; Kohlhammer, Jörn ; Steiger, Martin ; Tzovaras, Dimitrios ; Gounopoulos, Elias (2014)
Enhanced Visual Analytics Services for the Optimal Planning of Renewable Energy Resources Installations.
Artificial Intelligence Applications and Innovations.
doi: 10.1007/978-3-662-44722-2_35
Conference or Workshop Item
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2014 |
| Creators: | Konstantinos, Votis ; Karras, Yiannis ; Kohlhammer, Jörn ; Steiger, Martin ; Tzovaras, Dimitrios ; Gounopoulos, Elias |
| Type of entry: | Bibliographie |
| Title: | Enhanced Visual Analytics Services for the Optimal Planning of Renewable Energy Resources Installations |
| Language: | English |
| Date: | 2014 |
| Publisher: | Springer, Berlin, Heidelberg, New York |
| Series: | IFIP Advances in Information and Communication Technology; 437 |
| Event Title: | Artificial Intelligence Applications and Innovations |
| DOI: | 10.1007/978-3-662-44722-2_35 |
| 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. |
| Uncontrolled Keywords: | Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Visual analytics, Infrastructure planning |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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