Roberto Napoli

TL;DR: Various techniques are discussed and compared able to reduce the size of the clustering input data set, in order to allow for storing a relatively small amount of data in the database of the distribution service provider for customer classification purposes.

TL;DR: This paper uses an extensive field-measurementbased database of customer daily load diagrams to search for the most appropriate indices or sets of indices to be used for customer classification and proposes two original measures to quantify the degree of adequacy of each index.

TL;DR: An extended topological approach is proposed that includes the definitions of traditional topological metrics as well as the physical/operational behavior of power grids in terms of real power-flow allocation over lines and line flow limits and provides two new metrics, entropic degree and net-ability, that can be used to assess structural vulnerabilities in power systems.

TL;DR: A modified follow-the-leader algorithm and the self-organizing maps for customer classification are focused on-an overview of basic theory for these methods is included and the performance of the customer classification on the real case of a set of customers supplied by a distribution company is discussed.

TL;DR: In this paper, the authors focus on two specific issues concerning grid-connected solar PV units, i.e., the fault ride-through capability, also called low voltage ride through capability, and the voltage support function through reactive power injection during faults.