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We consider a utility who seeks to coordinate the energy consumption of multiple demand-side flexible resource aggregators. For the purpose of privacy protection, the utility has no access to the detailed information of loads of resource aggregators. Instead, we assume that the utility can directly observe each aggregator’s aggregate energy consumption outcomes. Furthermore, the utility can leverage...
There is a major demand for reducing energy consumption in mobile networks and it is expected become even more vital in the future (5G) multi-layer Ultra Dense Networks (UDNs), in which the number and density of cells in the different layers will grow dramatically. In these networks, multiple geographically overlapping layers are deployed to increase the capacity and throughput, but also increasing...
A detailed knowledge of residential electricity demand is useful for the development and evaluation of many energy efficiency measures in the residential sector. Since different applications operate on different time and spatial resolutions, a model that is flexible is necessary. A Residential Electricity Demand Model is developed, that uses the technique of Activity Based Modelling, i.e. modelling...
While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Since electricity consumption behavior may vary between households, we first build a feature universe, and then apply Correlation-based Feature Selection...
Direct load control has the potential of minimizing operational costs of electric utilities, which could thus reduce electricity prices for their customers. However, turning on and off specific appliances during peak demand periods has proven difficult to implement in practice due to system complexity, lack of fine-grained metering data, and scalability issues as the number of controllable loads increases...
This paper presents the work program of DESIMAX, a collaborative research project looking at wide-scale implementation of demand side management (DSM) within electricity networks. To fully understand the implications of extended use of DSM, it is important to develop multi-scale models that will be able to capture, predict and demonstrate the response of the power system at time scales ranging from...
Networks in the future will be composed of a large number of devices with heterogeneous resources, various kinds of communication schemes, and different mobility capabilities. In order to achieve maximal efficiency under various constraints, it is critical to determine how devices should connect to each other, through wired or wireless links. The impact and the design of mixed wireline and wireless...
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