Power System State Forecasting via Deep Recurrent Neural Networks
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[1] M. Hassanzadeh,et al. Power system state forecasting using regression analysis , 2012, 2012 IEEE Power and Energy Society General Meeting.
[2] Gang Wang,et al. Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks , 2018, IEEE Transactions on Signal Processing.
[3] J.C.S. de Souza,et al. Forecasting-Aided State Estimation—Part II: Implementation , 2009, IEEE Transactions on Power Systems.
[4] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[5] J.C.S. de Souza,et al. Forecasting-Aided State Estimation—Part I: Panorama , 2009 .
[6] A. P. A. D. Silva,et al. State forecasting in electric power systems , 1983 .
[7] Gang Wang,et al. Robust and Scalable Power System State Estimation via Composite Optimization , 2017, IEEE Transactions on Smart Grid.
[8] Gang Wang,et al. Phase Retrieval via Reweighted Amplitude Flow , 2018, IEEE Transactions on Signal Processing.
[9] Georgios B. Giannakis,et al. Monitoring and Optimization for Power Grids: A Signal Processing Perspective , 2013, IEEE Signal Processing Magazine.
[10] Georgios B. Giannakis,et al. Scalable Electric Vehicle Charging Protocols , 2015, IEEE Transactions on Power Systems.
[11] Lamine Mili,et al. A Short-Term Nodal Voltage Phasor Forecasting Method Using Temporal and Spatial Correlation , 2016, IEEE Transactions on Power Systems.
[12] Gang Wang,et al. REAL-TIME POWER SYSTEM STATE ESTIMATION VIA DEEP UNROLLED NEURAL NETWORKS , 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[13] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Georgios B. Giannakis,et al. Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics , 2018, Proceedings of the IEEE.
[15] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Gang Wang,et al. Distribution system state estimation: an overview of recent developments , 2019, Frontiers of Information Technology & Electronic Engineering.
[17] Atif S. Debs,et al. A Dynamic Estimator for Tracking the State of a Power System , 1970 .
[18] Razvan Pascanu,et al. How to Construct Deep Recurrent Neural Networks , 2013, ICLR.
[19] R D Zimmerman,et al. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.