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Distribution system state estimation (DSSE) tools are required to estimate the real operating conditions of power distribution networks. The accuracy of the quantities estimated through DSSE plays a key role in the effectiveness of the management and control functions. This paper presents a comprehensive mathematical analysis aimed at highlighting the most important factors affecting the accuracy...
Electrical distribution systems are usually poorly monitored networks with few measurement devices installed on the field. The significant changes affecting the distribution grids in last decades, mainly due to the increasing penetration of Distributed Energy Resources (DERs), call for a smarter monitoring and control of such networks. In this context, the accuracy of the electrical quantities provided...
Map digitization is an important source of spatial data, and its process of production is complicated, the error generated by each step will influence the outcome of data quality. First, from perspective datasource, hardware, software and personnel factors related to map digitizing, the paper discussed the uncertainty; After that, an uniform spatial data quality model is built. Then starting from...
Scaling phenomena can be found in a variety of physical situations, ranging from applications in hydrology to communication traffic measurements. This paper focuses on quantiles estimation for a self-similar time series and in particular on the uncertainty that affects their estimates. Quantiles provide in fact additional information about the distribution of the measurements and in certain cases...
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