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Enhanced Visual Analytics Services for the Optimal Planning of Renewable Energy Resources Installations
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.
Cited literature [11 references]
https://hal.inria.fr/hal-01391060
Contributor : Hal Ifip <>
Submitted on : Wednesday, November 2, 2016 - 5:20:15 PM
Last modification on : Wednesday, June 17, 2020 - 11:26:03 AM
Long-term archiving on: : Friday, February 3, 2017 - 4:00:45 PM
Contributor : Hal Ifip <>
Submitted on : Wednesday, November 2, 2016 - 5:20:15 PM
Last modification on : Wednesday, June 17, 2020 - 11:26:03 AM
Long-term archiving on: : Friday, February 3, 2017 - 4:00:45 PM
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