Kunjin Chen
Kunjin Chen
Alibaba Group
Verified email at alibaba-inc.com - Homepage
Cited by
Cited by
Fault detection, classification and location for transmission lines and distribution systems: a review on the methods
K Chen, C Huang, J He
High voltage 1 (1), 25-33, 2016
Short-term load forecasting with deep residual networks
K Chen, K Chen, Q Wang, Z He, J Hu, J He
IEEE Transactions on Smart Grid 10 (4), 3943-3952, 2018
Detection and classification of transmission line faults based on unsupervised feature learning and convolutional sparse autoencoder
K Chen, J Hu, J He
IEEE Transactions on Smart Grid 9 (3), 1748-1758, 2016
A framework for automatically extracting overvoltage features based on sparse autoencoder
K Chen, J Hu, J He
IEEE Transactions on Smart Grid 9 (2), 594-604, 2016
Probabilistic short-term wind power forecasting based on deep neural networks
W Wu, K Chen, Y Qiao, Z Lu
2016 International Conference on Probabilistic Methods Applied to Power …, 2016
Convolutional sequence to sequence non-intrusive load monitoring
K Chen, Q Wang, Z He, K Chen, J Hu, J He
The Journal of Engineering 2018 (17), 1860-1864, 2018
A novel data-driven approach for residential electricity consumption prediction based on ensemble learning
K Chen, J Jiang, F Zheng, K Chen
Energy 150, 49-60, 2018
An inversion method for evaluating lightning current waveform based on time series neural network
G Yang, K Chen, Z Yu, Y Zhang, F Zhou, J He
IEEE Transactions on Electromagnetic Compatibility 59 (3), 887-893, 2016
Learning-based data analytics: Moving towards transparent power grids
K Chen, Z He, SX Wang, J Hu, L Li, J He
CSEE Journal of Power and Energy Systems 4 (1), 67-82, 2018
Practical failure recognition model of lithium-ion batteries based on partial charging process
K Chen, F Zheng, J Jiang, W Zhang, Y Jiang, K Chen
Energy 138, 1199-1208, 2017
Identification of partial discharge defects based on deep learning method
L Duan, J Hu, G Zhao, K Chen, J He, SX Wang
IEEE Transactions on Power Delivery 34 (4), 1557-1568, 2019
Fault location in power distribution systems via deep graph convolutional networks
K Chen, J Hu, Y Zhang, Z Yu, J He
IEEE Journal on Selected Areas in Communications 38 (1), 119-131, 2019
Solar energy forecasting with numerical weather predictions on a grid and convolutional networks
K Chen, Z He, K Chen, J Hu, J He
2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 1-5, 2017
Scale-and Context-Aware Convolutional Non-Intrusive Load Monitoring
K Chen, Y Zhang, Q Wang, J Hu, H Fan, J He
IEEE Transactions on Power Systems 35 (3), 2362-2373, 2019
Method of inter-turn fault detection for next-generation smart transformers based on deep learning algorithm
L Duan, J Hu, G Zhao, K Chen, SX Wang, J He
High Voltage 4 (4), 282-291, 2019
Modeling the annual growth rate of electricity consumption of China in the 21st century: Trends and prediction
K Chen, K Chen
arXiv preprint arXiv:1710.07763, 2017
Data-driven residential customer aggregation based on seasonal behavioral patterns
K Chen, J Hu, Z He
2017 IEEE Power & Energy Society General Meeting, 1-5, 2017
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features
K Chen, T Vantuch, Y Zhang, J Hu, J He
IEEE Transactions on Smart Grid, 2020
M2GSNet: Multi-Modal Multi-Task Graph Spatiotemporal Network for Ultra-Short-Term Wind Farm Cluster Power Prediction
H Fan, X Zhang, S Mei, K Chen, X Chen
Applied Sciences 10 (21), 7915, 2020
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