The penetration of renewable energy sources (RES) in distribution systems has entailed
heavy deployment of monitoring and control infrastructure in the distribution system. This …

Monitoring of complex industrial processes can be achieved by obtaining process data by
utilising various sensing modalities. The recent emergence of deep learning provides a new …

As the complexity of electric systems increases, so does the required effort for the monitoring
and management of grid operations. To solve grid performance issues, smart grids require …

In the past decade, critical challenge for the world is to meet the demand for energy. Power
saving can be done only when consumption of energy by the load is monitored. Once …

This study proposes a data‐driven approach to enable the self‐management capability of
local energy communities (LECs) via transformer congestion monitoring in low‐voltage …

In recent years, there has been an increasing trend of utilizing artificial intelligence (AI)
methodologies over traditional statistical methods for predicting student performance in e …

Modern measurement and automation equipment for energy systems collect, store, process
and communicate ever increasing quantities of raw data which can be used to build data …

An active distribution network with a large amount of distributed energy resources (DER)
requires knowledge of the operational status of the network. In this sense, state estimation is …

Kurzfassung Motivation, Ziel und Aufgabe der Dissertation: Um eine größere
Unabhängigkeit von fossilen Brennstoffen zu erreichen und den Herausforderungen des …

Driven by sustainable development targets, the energy transition is taking place in the
electrical distribution networks with increasing integration of renewable energy sources …