Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

The energy management system becomes increasingly indispensable with the extensive
penetration of new players in the distribution networks, such as renewable energy, storage …

The distribution network has typically been the least observable and most dynamic and
locally controlled element in the power grid. Complete information about the network …

This article proposes a novel approach for identifying the topology of radial distribution
networks. It uses smart meter measurements from loads (eg, houses) of the network to …

When a smart meter, be it single-phase or three-phase, is connected to a three-phase
network, the phase (s) to which it is connected is (are) initially not known. This means that …

The increased deployment of distributed energy generation and the integration of new, large
electric loads such as electric vehicles and heat pumps challenge the correct and reliable …

In distribution networks, the lack of measurement data is usually thought to be an inevitable
bottleneck of conventional grid operation and planning. Recently, the availability of smart …

This paper discusses common types of errors that are frequently present in utility distribution
system models and which can significantly influence distribution planning and operational …

Accurate user-transformer connectivity relationship (UTCR) plays a key role in fine
management of low-voltage distribution network (LVDN) ie, load expansion, line loss …

Accurate consumer phase connectivity in low-voltage distribution network (LVDN) plays a
key role in maintaining high reliability of electricity supply and good power quality. However …