1. Shi, Jianjun 美国 Georgia Institute of Technology 2018美国工程院院士 Detection and Identification of Cyber and Physical Attacks on Distribution Power Grids With PVs: An ..
2. Liu ,Yilu 美国 Oak Ridge National Laboratory and University of Tennessee 2016美国工程院院士 Multi-View Convolutional Neural Network for Data Spoofing Cyber-Attack Detection in Distribution Syn..
3. 焦宗夏 中国 北京航空航天大学 教授 2023中国工程院院士 Analytical modeling of linear oscillating motor with a mixed method considering saturation effect
4. 焦宗夏 中国 北京航空航天大学 教授 2023中国工程院院士 Design of Novel Double-Layer Compound Stator for Tubular Linear Oscillating Motor
5. 陈文华 英国 Loughborough University Optimization of Improved YOLOv8 for Precision Tomato Leaf Disease Detection in Sustainable Agricultu..
6. 孙晓东 中国 江苏大学 副教授 An Improved Torque Enhancement Strategy for Dual Three-Phase PMSM Based on Model-Free Predictive Cur..
7. Pierluigi,Siano 意大利 University of Salerno Real Time Intelligent Detection of PQ Disturbances With Variational Mode Energy Features and Hybrid ..
8. Laurence V.,Madden 美国 OHIO STATE University Evaluation of a Laser-Guided Intelligent Sprayer for Disease and Insect Management on Grapes
9. Pachori, Ram Bilas 印度 Indian Institute technology Indore A Generalized Classification Framework for Power Quality Disturbances Based on Synchrosqueezed Wavel..
10. Kurniawan, Tonni Agustiono 中国 厦门大学 An Integrated Approach Improved Fast S-transform and SVD Noise Reduction for Classification of Power..
11. Dash, Pradipta Kishore 印度 Siksha O Anusandhan University FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for ..
12. Zainal,Salam 马来西亚 University of Teknol Malaysia Optimal feature selection using modified cuckoo search for classification of power quality disturban..
13. Polat, Kemal 土耳其 Bolu Abant İzzet Baysal Üniversitesi An adaptive deep learning framework to classify unknown composite power quality event using known si..
14. Polat, Kemal 土耳其 Bolu Abant İzzet Baysal Üniversitesi A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images..
15. Jiri Jaromir,Klemes 捷克共和国 University of Pannonia Sustainable design, integration, and operation for energy high-performance process systems
16. Hany M,Hasanien 埃及 Ain Shams University Categorisation of power quality problems using long short-term memory networks
17. Dash, Pradipta Kishore 印度 Siksha O Anusandhan University FPGA-Based Deep Convolutional Neural Network of Process Adaptive VMD Data With Online Sequential RVF..
18. 王剑辉 美国 Southern Methodist University State-of-the-art short-term electricity market operation with solar generation: A review
19. Dash, Pradipta Kishore 印度 Siksha O Anusandhan University Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for ..
20. Ajith,Abraham 美国 Machine Intelligence Research Laboratory Deep learning in electrical utility industry: A comprehensive review of a decade of research