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• W3084301792 abstract "The fast growth of communication technology within the concept of 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 of customers do not necessarily have powerful prediction tools or capability of storing a large amount of historical data. Besides, the relevant information is not always known a priori, while decisions need to be made fast within a very limited time. These limitations and also the novel structure of decision making, which comes from the necessities to make the decision very fast with a limited amount of information, implies a requirement for investigating a novel framework: online decision-making. In this study, we propose an online constrained convex optimization framework for operating responsive end-user electrical customers in real-time. Within this online-decision-making framework, algorithms are proposed for two cases: no prediction data is available at the moment of decision-making, and a limited number of forward time periods predictions of uncertain parameters are available. The simulation results exhibit the capability of the model to achieve considerable profits in an easy-to-implement procedure. Comprehensive numerical test cases are performed for comparison with existent alternative models." @default.
• W3084301792 created "2020-09-14" @default.
• W3084301792 creator A5056770027 @default.
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• W3084301792 date "2020-09-10" @default.
• W3084301792 modified "2023-09-27" @default.
• W3084301792 title "Electric End-User Consumer Profit Maximization: An Online Approach" @default.
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• W3084301792 hasPublicationYear "2020" @default.
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