A review of cyber–physical security for photovoltaic systems
In this article, the challenges and a future vision of the cyber–physical security of
photovoltaic (PV) systems are discussed from a firmware, network, PV converter controls …
photovoltaic (PV) systems are discussed from a firmware, network, PV converter controls …
[HTML][HTML] Overview of fault detection approaches for grid connected photovoltaic inverters
Over the past few years, the power electronic converters have gained significant attraction
among researchers, especially as an interface between distributed generation (DG) systems …
among researchers, especially as an interface between distributed generation (DG) systems …
Toward data-driven optimal control: A systematic review of the landscape
This literature review extends and contributes to research on the development of data-driven
optimal control. Previous reviews have documented the development of model-based and …
optimal control. Previous reviews have documented the development of model-based and …
Real-time AI-based anomaly detection and classification in power electronics dominated grids
Real-time anomaly detection system (ADS) and anomaly classification system (ACS)
techniques are becoming a crucial need for future power electronic dominated grid (PEDG) …
techniques are becoming a crucial need for future power electronic dominated grid (PEDG) …
Towards Physics-Informed Machine Learning-Based Predictive Maintenance for Power Converters–A Review
Predictive maintenance for power electronic converters has emerged as a critical area of
research and development. With the rapid advancements in deep-learning techniques, new …
research and development. With the rapid advancements in deep-learning techniques, new …
Overview of intelligent inverters and associated cybersecurity issues for a grid-connected solar photovoltaic system
The major problem associated with the grid-connected solar photovoltaic (PV) system is the
integration of the generated DC power into the AC grid and maintaining the stability of the …
integration of the generated DC power into the AC grid and maintaining the stability of the …
Review of machine learning techniques for power electronics control and optimization
In the rapidly advancing landscape of contemporary technology, power electronics assume
a pivotal role across diverse applications, ranging from renewable energy systems to electric …
a pivotal role across diverse applications, ranging from renewable energy systems to electric …
ResFaultyMan: An intelligent fault detection predictive model in power electronics systems using unsupervised learning isolation forest
Intelligent fault detection considered as a paramount importance in Power Electronics
Systems (PELS) to ensure operational reliability along with rising complexities and critical …
Systems (PELS) to ensure operational reliability along with rising complexities and critical …
Application of data‐driven methods in power systems analysis and control
The increasing integration of variable renewable energy resources through power
electronics has brought about substantial changes in the structure and dynamics of modern …
electronics has brought about substantial changes in the structure and dynamics of modern …
Smart Grid Sensor Monitoring Based on Deep Learning Technique with Control System Management in Fault Detection
The smart grid environment comprises of the sensor for monitoring the environment for
effective power supply, utilization and establishment of communication. However, the …
effective power supply, utilization and establishment of communication. However, the …