Managing uncertainty in operationalization of ESS using Bayesian Networks Anders L Madsen HUGIN EXPERT A/S Brussels, 28 October 2015

2 HUGIN’s Role in OpenNESS Provide technology for decision analysis Bayesian networks / Dynamic Bayesian networks / object- oriented Bayesian networks HUGIN development tools Software platform for decision analysis HUGIN Graphical User Interface and HUGIN Decision Engine HUGIN Web Service API and Widget Library GIS link for deployment Knowledge engineering Assist case studies in developing and deploying models

3 HUGIN’s Main Expected Outputs Enhanced software tools based on user requirements GIS enable the HUGIN Web Service API and Widget Library Integration with QuickScan Case study models demonstrating the power of the technology and tools Operalizational models available on the web site Publications providing scientific arguments in favor of the methodolgy

4 HUGIN’s Main Expected Benefits Maintain strong profile at the European level Collaboration with partners, customers, potential customers and end-users Improve skills, knowledge and experience in new application domains Financial support for long term RTD efforts Increased awareness of our customer offering

5 Generic Lessons for SMEs Have a clear idea of what your expected benefits and main outputs of the participation should be Participation in EU projects can be an excellent opportunity for collaboration with international companies, universities, customers and potential customers Participate actively in the work, deliver as promissed, and the reward can be significant

Gasværksvej Aalborg Phone: Fax: Skype: anderslmadsen Anders L Madsen Thank you for your attention…