Managing uncertainty in operationalization of ESS using Bayesian
Managing uncertainty in operationalization of ESS using Bayesian Networks Anders L Madsen HUGIN EXPERT A/S Brussels, 28 October 2015
HUGIN’s Role in Open. NESS • Provide technology for decision analysis • Bayesian networks / Dynamic Bayesian networks / objectoriented 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 http: //openness. hugin. com for deployment • Knowledge engineering • Assist case studies in developing and deploying models 2
HUGIN’s Main Expected Outputs • Enhanced software tools based on user requirements • GIS enable the HUGIN Web Service API and Widget Library • Integration with Quick. Scan • Case study models demonstrating the power of the technology and tools • Operalizational models available on the web site http: //openness. hugin. com • Publications providing scientific arguments in favor of the methodolgy 3
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 4
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 5
Thank you for your attention… Anders L Madsen Gasværksvej 5 9000 Aalborg Phone: +45 96 55 07 90 +45 20 12 55 68 Fax: +45 96 55 07 90 e-mail: anders@hugin. com Skype: anderslmadsen
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