Electric end-user consumer profit maximization: An online approach

The fast growth of communication technology within the concept smart grids can provide data and control signals from/to all consumers in an online fashion. This could foster more participation for end-user customers. These types customers do not necessarily have powerful prediction tools or capability storing a large amount historical data. Besides, relevant information is always known priori, while decisions need to be made very limited time. limitations also novel structure decision making, which comes from necessities make with information, implies requirement investigating framework: decision-making. In this study, we propose constrained convex optimization framework operating responsive electrical real-time. Within online-decision-making framework, algorithms are proposed two cases: no available at moment decision-making, number forward time periods predictions uncertain parameters available. simulation results exhibit model achieve considerable profits easy-to-implement procedure. Comprehensive numerical test cases performed comparison existent alternative models.