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 …

This paper presents an overview of the evolution of knowledge extraction from power
systems data since 1980's up to date. As the existing literature in this application domain is …

The information of a low-voltage (LV) distribution network is important for power supply
departments to monitor grid information, analyze faults and optimize grid operation status …

态势感知是保障有源配电网安全, 可靠, 经济运行的重要方法. 随着近年来电力数据采集技术与大
数据技术的发展, 数据驱动的有源配电网态势感知得到了广泛的研究与应用 …

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 network identification plays a very prominent role for the network operator to accomplish
the various objectives such as state-estimation, monitoring, control, planning, and real-time …

Abstract Knowledge of customer phase connection in low-voltage distribution networks is
important for Distribution System Operators (DSOs). This paper presents a novel data-driven …

Power grids are evolving with the aim to guarantee sustainability and higher levels of power
quality for universal access to electricity. More specifically, over the last two decades, power …

This article presents a use-inspired perspective of the opportunities and challenges in a
massively digitized power grid. It argues that the intricate interplay of data availability …