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Enhanced Visual Analytics Services for the Optimal Planning of Renewable Energy Resources Installations

Konstantinos, Votis and Karras, Yiannis and Kohlhammer, Jörn and Steiger, Martin and Tzovaras, Dimitrios and Gounopoulos, Elias (2014):
Enhanced Visual Analytics Services for the Optimal Planning of Renewable Energy Resources Installations.
Springer, Berlin, Heidelberg, New York, In: Artificial Intelligence Applications and Innovations, In: IFIP Advances in Information and Communication Technology; 437, DOI: 10.1007/978-3-662-44722-2₃₅,
[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 and Karras, Yiannis and Kohlhammer, Jörn and Steiger, Martin and Tzovaras, Dimitrios and Gounopoulos, Elias
Title: Enhanced Visual Analytics Services for the Optimal Planning of Renewable Energy Resources Installations
Language: English
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.

Series Name: IFIP Advances in Information and Communication Technology; 437
Publisher: Springer, Berlin, Heidelberg, New York
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
Event Title: Artificial Intelligence Applications and Innovations
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-662-44722-2₃₅
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