A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks
PL Bhattar, NM Pindoriya… - IET Cyber‐Physical …, 2021 - Wiley Online Library
The penetration of renewable energy sources (RES) in distribution systems has entailed
heavy deployment of monitoring and control infrastructure in the distribution system. This …
heavy deployment of monitoring and control infrastructure in the distribution system. This …
Deep transfer learning with self-attention for industry sensor fusion tasks
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 …
utilising various sensing modalities. The recent emergence of deep learning provides a new …
Demonstration of 5G solutions for smart energy grids of the future: a perspective of the Smart5Grid project
D Porcu, S Castro, B Otura, P Encinar, I Chochliouros… - Energies, 2022 - mdpi.com
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 …
and management of grid operations. To solve grid performance issues, smart grids require …
Design and implementation of IoT based energy management system with data acquisition
R Krishnamoorthy, S Aswini… - 2020 7th International …, 2020 - ieeexplore.ieee.org
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 …
saving can be done only when consumption of energy by the load is monitored. Once …
Exploring regression models to enable monitoring capability of local energy communities for self‐management in low‐voltage distribution networks
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 …
local energy communities (LECs) via transformer congestion monitoring in low‐voltage …
Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques
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 …
methodologies over traditional statistical methods for predicting student performance in e …
Multiscale data analytics for residential active power measurements through time series data mining
G Stamatescu, R Plamanescu… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
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 …
and communicate ever increasing quantities of raw data which can be used to build data …
Bibliometric study of distribution system state estimation: advances and challenges
JAL Sánchez, ME Samper… - DYNA: revista de la …, 2024 - dialnet.unirioja.es
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 …
requires knowledge of the operational status of the network. In this sense, state estimation is …
[图书][B] Data-driven distribution system state estimation using synchrophasor measurements
Kurzfassung Motivation, Ziel und Aufgabe der Dissertation: Um eine größere
Unabhängigkeit von fossilen Brennstoffen zu erreichen und den Herausforderungen des …
Unabhängigkeit von fossilen Brennstoffen zu erreichen und den Herausforderungen des …
Grid-edge Monitoring and Control for Enhancement of LV Network Performance with High Renewable Energy Penetration
MT Tâm - 2022 - research.tue.nl
Driven by sustainable development targets, the energy transition is taking place in the
electrical distribution networks with increasing integration of renewable energy sources …
electrical distribution networks with increasing integration of renewable energy sources …