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Accurate prediction of user consumption is a key part not only in understanding consumer flexibility and behavior patterns, but in the design of robust and efficient energy saving programs as well. Existing prediction methods usually have high relative errors that can be larger than 30% and have difficulties accounting for heterogeneity between individual users. In this paper, we propose a method...
Successful enrollment of customers in intervention-based demand side energy management (DSM) programs, such as energy efficiency and installation of PV panels, depends on having accurate estimates of the benefits of these programs available and communicated to the customers. The program benefits may include long-term financial savings, and their contribution to managing supply and demand in transition...
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