. Centre-for-renewable-energy and . Sources, CRES) European projects for energy: http://www.cres.gr/kape, 2014.

D. Keim, G. Andrienko, J. Fekete, C. Görg, J. Kohlhammer et al., Visual Analytics: Definition, Process, and Challenges, Visual Analytics: Definition, Process, and Challenges. Information Visualization, pp.154-175, 2008.
DOI : 10.1007/978-3-540-70956-5_7

URL : https://hal.archives-ouvertes.fr/lirmm-00272779

J. Thomas and K. A. Cook, Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualisation and Analytics Centre, 2005.

U. Turdukulov and C. Blok, Visual analytics to explore iceberg movement. Workshop on GeoVisualization of Dynamics, Movement and Change at the AGILE, 2008.

D. Reniers, L. Voinea, O. Ersoy, and A. Telea, A Visual Analytics Toolset for Program Structure, Metrics, and Evolution Comprehension, Proceedings of the 3rd Intl. Workshop on Academic Software Development Tools and Techniques (WASDeTT-3), 2010.

F. Mansmann, D. A. Keim, S. C. North, B. Rexroad, and D. Sheleheda, Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.6, 2007.
DOI : 10.1109/TVCG.2007.70522

P. C. Wong, K. Schneider, P. Mackey, H. Foote, G. Chin et al., A Novel Visualization Technique for Electric Power Grid Analytics, IEEE Transactions on Visualization and Computer Graphics, vol.15, pp.3-410, 2009.

G. Andrienko, Time and Visual Analytics, International Journal of Geographical Information Science, vol.24, 2010.

G. Stephen and . Eick, Geospatial visualization with VisTracks Wiley Interdisciplinary Reviews: Computational Statistics, pp.272-286, 2010.

J. Kohlhammer, T. May, and M. Hoffmann, Visual Analytics for the Strategic Decision Making Process. NATO Science for Peace and Security Series C: Environmental Security, pp.299-310, 2009.

M. Jern, L. Thygesen, and M. Brezzi, Numerical_weather_prediction models, https://en.wikipedia.org/wiki/Numerical_weather_prediction The System Advisor Model (SAM) to facilitate decision making for people involved in the renewable energy industry: https://sam.nrel.govHELIOS 3D powerful tool for utility scale solar plants, 2009.