The large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …

Power grids are cyber-physical systems and can be modelled as network systems where
individual units (generators, busbars and loads) are interconnected through physical and …

This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …

The construction industry is witnessing a transformative shift towards sustainable and
intelligent housing solutions driven by advancements in 3D printing, Artificial Intelligence …

Unveiling feeder topologies from data is of paramount importance to advance situational
awareness and proper utilization of smart resources in power distribution grids. This tutorial …

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 …

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 …

The task of determining the phase connection of customers, known as phase identification,
is crucial to obtain accurate distribution system models. This paper starts with a thorough …

The mitigation of distribution network (DN) unbalance and the use of single-phase flexibility
for congestion mitigation requires accurate phase connection information, which is often not …

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 …