Sadati, S. M. B.Moshtagh, J.Shafie-khah, MiadrezaCatalao, Joao2019-01-022019-01-022019-01-08978-0-9981331-2-6http://hdl.handle.net/10125/59560In this paper, a risk-based decision support model is developed for a smart energy distribution company, enabling emerging resources like renewable energy sources, electric vehicles and demand response programs in a holistic approach. Because of the inherent uncertainties of these emerging resources, the conditional value-at-risk (CVaR) method is adopted to restrict the distribution company’s risk. A risk aversion parameter sensitivity analysis is also provided on the optimal operation of the smart energy distribution company. The proposed model is thoroughly tested on a 15-bus distribution grid system, and the numerical results prove the effectiveness of the model in risk management.8 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalDecision Support for Complex NetworksDecision Analytics, Mobile Services, and Service ScienceRisk; Decision Support; Optimal Operation; Distribution Company; Emerging Resources.Conference Paper10.24251/HICSS.2019.147