This paper presents a self-scheduling framework, using risk-constrained optimization model for the home energy management system (HEMS), considering fixed, controllable, and interruptible loads, as new contribution to earlier studies. The objectives are reducing electricity bill managing risk of purchasing over on-peak hours prosumer's discomfort index (DI) due shifting load undesired hours. In...