Risk-Constrained Multi-Stage Renewable Power Investment Antonio Conejo Ohio State University When deciding on renewable power investments, three major issues arise: the production variability and uncertainty of most renewable facilities, the eventual future decline in renewable power investment costs, and the significant financial risk involved in such investment decisions. Recognizing the above important issues, this presentation proposes a risk-constrained multi-stage stochastic programming MPEC model to make optimal investment decisions on renewable power facilities along a multi-stage horizon. The proposed model is illustrated using a clarifying example and a case study.