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E. Varga, S. Beretka, C. Noce, G. Sapienza (2015)
Robust Real-Time Load Profile Encoding and Classification Framework for Efficient Power Systems OperationIEEE Transactions on Power Systems, 30
K. López, Christian Gagné, Marc-André Gardner (2019)
Demand-Side Management Using Deep Learning for Smart Charging of Electric VehiclesIEEE Transactions on Smart Grid, 10
A. Salehi-Dobakhshari, A. Ranjbar (2014)
Application of synchronised phasor measurements to wide-area fault diagnosis and locationIet Generation Transmission & Distribution, 8
Deep learn toolbox
Jing Sun, Shi-Yin Qin, Yong-Hua Song (2004)
Fault diagnosis of electric power systems based on fuzzy Petri netsIEEE Transactions on Power Systems, 19
Policy Law, Paul Policy, Ian Anderson, Robert Blackshaw, Janwillem Siekmann, Soek, P. Anderson, A. Fouad (1979)
Power System Control and StabilityIEEE Transactions on Systems, Man, and Cybernetics, 9
Zibin Zheng, Yatao Yang, Xiangdong Niu, Hongning Dai, Yuren Zhou (2018)
Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart GridsIEEE Transactions on Industrial Informatics, 14
Elena Mocanu, H. Nguyen, M. Gibescu, W. Kling (2016)
Deep learning for estimating building energy consumptionSustainable Energy, Grids and Networks, 6
Heng Shi, Minghao Xu, Ran Li (2018)
Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNNIEEE Transactions on Smart Grid, 9
Youbiao He, G. Mendis, Jin Wei (2017)
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent MechanismIEEE Transactions on Smart Grid, 8
Wellington Fonseca, U. Bezerra, M. Nunes, F. Barros, J. Moutinho (2013)
Simultaneous Fault Section Estimation and Protective Device Failure Detection Using Percentage Values of the Protective Devices AlarmsIEEE Transactions on Power Systems, 28
Yann LeCun, Yoshua Bengio, Geoffrey Hinton (2015)
Deep LearningNature, 521
Xu Luo, M. Kezunovic (2008)
Implementing Fuzzy Reasoning Petri-Nets for Fault Section EstimationIEEE Transactions on Power Delivery, 23
Van Nguyen, R. Jenssen, D. Roverso (2018)
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learningInternational Journal of Electrical Power & Energy Systems
(2009)
This PDF file includes: Materials and Methods
David Silver, Julian Schrittwieser, K. Simonyan, Ioannis Antonoglou, Aja Huang, A. Guez, T. Hubert, Lucas baker, Matthew Lai, A. Bolton, Yutian Chen, T. Lillicrap, Fan Hui, L. Sifre, George Driessche, T. Graepel, D. Hassabis (2017)
Mastering the game of Go without human knowledgeNature, 550
T. Bi, Zheng Yan, F. Wen, Y. Ni, C. Shen, F. Wu, Qixun Yang (2002)
On-line fault section estimation in power systems with radial basis function neural networkInternational Journal of Electrical Power & Energy Systems, 24
Heungjae Lee, Bok-Shin Ahn, Young-Moon Park (2000)
A fault diagnosis expert system for distribution substationsIEEE Transactions on Power Delivery, 15
G. Cardoso, J. Rolim, H. Zurn (2004)
Application of neural-network modules to electric power system fault section estimationIEEE Transactions on Power Delivery, 19
Science, 313
Volodymyr Mnih, K. Kavukcuoglu, David Silver, Andrei Rusu, J. Veness, Marc Bellemare, Alex Graves, Martin Riedmiller, A. Fidjeland, Georg Ostrovski, Stig Petersen, Charlie Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, D. Kumaran, Daan Wierstra, S. Legg, D. Hassabis (2015)
Human-level control through deep reinforcement learningNature, 518
Wen-Hui Chen, S. Tsai, Hsien-I Lin (2011)
Fault Section Estimation for Power Networks Using Logic Cause-Effect ModelsIEEE Transactions on Power Delivery, 26
Weicong Kong, Z. Dong, D. Hill, F. Luo, Yan Xu (2018)
Short-Term Residential Load Forecasting Based on Resident Behaviour LearningIEEE Transactions on Power Systems, 33
J. Schmidhuber (2014)
Deep learning in neural networks: An overviewNeural networks : the official journal of the International Neural Network Society, 61
Elena Mocanu, D. Mocanu, Phuong Nguyen, A. Liotta, M. Webber, M. Gibescu, J. Slootweg (2017)
On-Line Building Energy Optimization Using Deep Reinforcement LearningIEEE Transactions on Smart Grid, 10
A. Oliveira, O. Araújo, G. Cardoso, A. Morais, L. Mariotto (2016)
A mixed integer programming model for optimal fault section estimation in power systemsInternational Journal of Electrical Power & Energy Systems, 77
Yongli Zhu, Huo Limin, Jinling Lu (2006)
Bayesian networks-based approach for power systems fault diagnosisIEEE Transactions on Power Delivery, 21
IET Generation, Transmission & Distribution – Wiley
Published: Sep 1, 2018
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