Latest Research in Lightning and Electromagnetic Phenomena

Top Research Topics in Lightning and Electromagnetic Phenomena

• Lightning and Electromagnetic Phenomena — 4 papers
• Electrical Fault Detection and Protection — 2 papers
• HVDC Systems and Fault Protection — 2 papers
• Advanced Electrical Measurement Techniques — 1 papers
• Machine Learning — 1 papers
• Quantum Physics — 1 papers
• Power Systems Fault Detection — 1 papers
• Systems and Control — 1 papers
• Data Stream Mining Techniques — 1 papers
• Electromagnetic Launch and Propulsion Technology — 1 papers

Highest-Cited Papers

1. Insulation Monitoring Systems in Low-Voltage IT Networks—A Review
2. Comprehensive Analysis of Grounding System in High Voltage Substation Using Soil Investigation Report
3. Method for Capacitive Wide-Band High-Voltage Measurement in the Range from 50 Hz to 2500 Hz
4. A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids (1 citations)
5. Learning Temporal Patterns in Financial Time Series: A Comparative Study of Quantum LSTM and Quantum Reservoir Computing
6. Fast and Accurate Time-Domain simulation of Lightning Response in Grounding systems Considering Frequency-Dependent Soil parameters and Ionization
7. High-Frequency Transient Overvoltage Analysis of MMC-HVDC Converter Valves Based on a Multi-Scale Wideband Model
8. Transmission line fault detection and diagnosis based on fuzzy logic and artificial intelligence
9. Lightning geolocation accuracy as the dominant error source in evaluating strike-prediction models for transmission lines
10. Multivariable Geometric Laplace Transform and Fault Detection in Distributed-Converter Lines
11. A study on the instantaneous and dynamic characteristics of impulse grounding resistance in grounding grids for artificially triggered lightning
12. An adaptive lifelong incremental learning framework for power quality disturbance detection under concept drift
13. The HVDC-Native Power Interface - MetroVolt to the Data-Center Bus
14. Neural Network-Driven Fault Classification for HVAC Transmission Systems: A Comparative Evaluation of Voltage, Current, and Phase Angle Inputs
15. Field-Measurement-Based Wideband Modeling and System-Level Simulation of MMC-HVDC Converter Stations for High-Frequency Disturbance Studies
16. Experimental establishment of ferroresonance and nonlinear dynamic analysis of line capacitance effects on system stability
17. High-accuracy and unsupervised feature extraction for smart grid transformer loss prediction based on deep belief networks