Data-Driven Multi-Hidden Markov Model-Based Power Quality Disturbance Prediction That Incorporates Weather Conditions
暂无分享,去创建一个
[1] Zhiyong Yuan,et al. Visualization of wide area measurement information from the FNET system , 2011, 2011 IEEE Power and Energy Society General Meeting.
[2] Qian Ai,et al. Research on dynamic load modelling based on power quality monitoring system , 2013 .
[3] Pablo Aravena,et al. A Simple Predictive Method to Estimate Flicker , 2014 .
[4] V. Katie,et al. Effects of low power electronics & computer equipment on power quality at distribution grid-measurements and forecast , 2004, 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..
[5] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[6] Kun-Huang Huarng,et al. A neural network-based fuzzy time series model to improve forecasting , 2010, Expert Syst. Appl..
[7] G.W. Chang,et al. On Tracking the Source Location of Voltage Sags and Utility Shunt Capacitor Switching Transients , 2008, IEEE Transactions on Power Delivery.
[8] Sheng-Tun Li,et al. A Stochastic HMM-Based Forecasting Model for Fuzzy Time Series , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[9] Robin Girard,et al. Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production , 2018, IEEE Transactions on Sustainable Energy.
[10] Tomáš Vantuch,et al. The Power Quality Forecasting Model for Off-Grid System Supported by Multiobjective Optimization , 2017, IEEE Transactions on Industrial Electronics.
[11] Ian Dobson,et al. Evidence for self-organized criticality in a time series of electric power system blackouts , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.
[12] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[13] Maozhen Li,et al. Hadoop-based framework for big data analysis of synchronised harmonics in active distribution network , 2017 .
[14] Ali Dastfan,et al. Modeling and Forecasting Nonstationary Voltage Fluctuation Based on Grey System Theory , 2017, IEEE Transactions on Power Delivery.
[15] Seung-Il Moon,et al. Topological Locating of Power Quality Event Source , 2006 .
[16] Lasantha Meegahapola,et al. Characterisation of flicker emission and propagation in distribution networks with bi-directional power flows , 2014 .
[17] Bart Kosko,et al. Fuzzy function approximation with ellipsoidal rules , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[18] João Gama,et al. Predicting Ramp Events with a Stream-Based HMM Framework , 2012, Discovery Science.
[19] Henrik Madsen,et al. Spatio‐temporal analysis and modeling of short‐term wind power forecast errors , 2011 .
[20] B. Vahidi,et al. A New Stochastic Model of Electric Arc Furnace Based on Hidden Markov Model: A Study of Its Effects on the Power System , 2012, IEEE Transactions on Power Delivery.
[21] Qingqing Huang,et al. Dynamic Detection of Transmission Line Outages Using Hidden Markov Models , 2016, IEEE Transactions on Power Systems.
[22] Arash Asrari,et al. A Hybrid Algorithm for Short-Term Solar Power Prediction—Sunshine State Case Study , 2017, IEEE Transactions on Sustainable Energy.
[23] M. Kezunovic,et al. Integrated Fault Location and Power-Quality Analysis in Electric Power Distribution Systems , 2016, IEEE Transactions on Power Delivery.
[24] Jovica V. Milanovic,et al. Assessment of the Economic Value of Voltage Sag Mitigation Devices to Sensitive Industrial Plants , 2015, IEEE Transactions on Power Delivery.
[25] G. W. Chang,et al. Forecasting Flicker Severity by Grey Predictor , 2012, IEEE Transactions on Power Delivery.
[26] Eamonn J. Keogh,et al. A symbolic representation of time series, with implications for streaming algorithms , 2003, DMKD '03.
[27] Dong-xiao Niu,et al. Mid-long Term Load Forecasting Using Hidden Markov Model , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.
[28] B. Vahidi,et al. A new stochastic method based on Hidden Markov Models to transformer differential protection , 2008, 2008 11th International Conference on Optimization of Electrical and Electronic Equipment.
[29] Saeed Jazebi,et al. A Novel Algorithm for Fault Type Fast Diagnosis in Overhead Transmission Lines Using Hidden Markov Models , 2011 .
[30] C. Lee Giles,et al. Adaptive sorted neighborhood methods for efficient record linkage , 2007, JCDL '07.
[31] Xiaodong Liu,et al. Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification , 2015, Inf. Sci..
[32] Kui Wu,et al. A Machine Learning Approach to Meter Placement for Power Quality Estimation in Smart Grid , 2016, IEEE Transactions on Smart Grid.
[33] Drago Dolinar,et al. Detection of voltage sag sources based on instantaneous voltage and current vectors and orthogonal Clarke's transformation , 2008 .
[34] S. Jazebi,et al. Power Quality Disturbance Classification Using S-transform and Hidden Markov Model , 2012 .
[35] Najeh Chaâbane,et al. A novel auto-regressive fractionally integrated moving average–least-squares support vector machine model for electricity spot prices prediction , 2014 .
[36] Johan Driesen,et al. Assessment of voltage sag indices based on scaling and wavelet coefficient energy analysis , 2013, 2013 IEEE Power & Energy Society General Meeting.
[37] Tom White,et al. Hadoop: The Definitive Guide , 2009 .
[38] James S. Thorp,et al. Synchronized Phasor Measurement Applications in Power Systems , 2010, IEEE Transactions on Smart Grid.
[39] Minwu Chen,et al. Harmonic modelling and prediction of high speed electric train based on non-parametric confidence interval estimation method , 2017 .
[40] Chia-Nan Ko,et al. Short-term load forecasting using SVR (support vector regression)-based radial basis function neural network with dual extended Kalman filter , 2013 .
[41] S. Mishra,et al. Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network , 2008, IEEE Transactions on Power Delivery.