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The final goal of our research is to design a methodology to be implemented in a demand-responsive energy management system for controlling domestic energy resources in a smart grid scenario, taking into account the existence of dynamic tariffs and quality of service constraints. This paper aims at fulfilling an essential step towards that goal: evaluating the manageable demand available at the residential...
The ongoing transformation of electric grids into smart grids provides the technological basis to implement demand-sensitive pricing strategies aimed at using the electric power infrastructure more efficiently. These strategies, also designated by demand response [1], already proved to be effective in altering patterns of electricity usage [2–6], and create benefits not only for end users (by lowering...
Simulation, by resorting to suitable models, is often used by electric utilities in studies related with load forecasting, system reliability, power flow and demand-side management activities, among others. Nowadays, in restructured electricity market scenarios, activities involving buying and selling energy can also be studied through simulation. Different goals for those studies require different...
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