A load predictive energy management system for supercapacitor-battery hybrid energy storage system in solar application using the Support Vector Machine

[1]  Koosuke Harada,et al.  Basic characteristics of electric double-layer capacitors controlled by switching converters , 1996, Proceedings of Intelec'96 - International Telecommunications Energy Conference.

[2]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[3]  B. Conway.  Electrochemical Supercapacitors: Scientific Fundamentals and Technological Applications , 1999 .

[4]  Patrick Haffner,et al.  Support vector machines for histogram-based image classification , 1999, IEEE Trans. Neural Networks.

[5]  F.B. Libano,et al.  A PIC controller for grid connected PV system using a FPGA based inverter , 2000, ISIE'2000. Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (Cat. No.00TH8543).

[6]  Thomas Christen,et al.  Theory of Ragone plots , 2000 .

[7]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[8]  Robert A. Huggins,et al.  Supercapacitors and electrochemical pulse sources , 2000 .

[9]  A. Burke.  Ultracapacitors: why, how, and where is the technology , 2000 .

[10]  Zhao Yang Dong,et al.  An adaptive neural-wavelet model for short term load forecasting , 2001 .

[11]  James P. Dunlop,et al.  RECOMMENDATIONS FOR MAXIMIZING BATTERY LIFE IN PHOTOVOLTAIC SYSTEMS: A REVIEW OF LESSONS LEARNED , 2001 .

[12]  Ralph E. White,et al.  Power and life extension of battery-ultracapacitor hybrids , 2002 .

[13]  Chih-Jen Lin,et al.  A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.

[14]  Johan A. K. Suykens,et al.  Weighted least squares support vector machines: robustness and sparse approximation , 2002, Neurocomputing.

[15]  P.P. Barker,et al.  Ultracapacitors for use in power quality and distributed resource applications , 2002, IEEE Power Engineering Society Summer Meeting,.

[16]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[17]  Bernhard Schölkopf,et al.  A tutorial on support vector regression , 2004, Stat. Comput..

[18]  Ming-Wei Chang,et al.  Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001 , 2004, IEEE Transactions on Power Systems.

[19]  Paul Shinn,et al.  Requirements for future automotive batteries – a snapshot , 2005 .

[20]  R.A. Dougal,et al.  Power enhancement of an actively controlled battery/ultracapacitor hybrid , 2005, IEEE Transactions on Power Electronics.

[21]  L. Solero,et al.  Design of multiple-input power converter for hybrid vehicles , 2004, IEEE Transactions on Power Electronics.

[22]  Flávio Bortolozzi,et al.  A comparison of SVM and HMM classifiers in the off-line signature verification , 2005, Pattern Recognit. Lett..

[23]  Tomonobu Senjyu,et al.  Output leveling of wind power generation system by EDLC energy storage system , 2006 .

[24]  A. Emadi,et al.  Power Management of an Ultracapacitor/Battery Hybrid Energy Storage System in an HEV , 2006, 2006 IEEE Vehicle Power and Propulsion Conference.

[25]  T. Senjyu,et al.  Output levelling of renewable energy by electric double-layer capacitor applied for energy storage system , 2006, IEEE Transactions on Energy Conversion.

[26]  Yang Chen,et al.  A Cost-effective Three-phase Grid-connected Inverter with Maximum Power Point Tracking , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[27]  Jing Wang,et al.  Predictive Control Based on Support Vector Machine Model , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[28]  Jing Gao,et al.  Multistep-Ahead Time Series Prediction , 2006, PAKDD.

[29]  Pu Chen,et al.  Application of Support Vector Machines in Debt to GDP Ratio Forecasting , 2006, 2006 International Conference on Machine Learning and Cybernetics.

[30]  W.G. Hurley,et al.  Ultracapacitor/ battery hybrid for solar energy storage , 2007, 2007 42nd International Universities Power Engineering Conference.

[31]  Mustafa Inalli,et al.  Modeling a ground-coupled heat pump system by a support vector machine , 2008 .

[32]  M. Ferdowsi,et al.  Parametric study of alternative EV1 powertrains , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[33]  Ricardo H. C. Takahashi,et al.  The $Q$ -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem , 2008, IEEE Transactions on Neural Networks.

[34]  Dino Isa,et al.  Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine , 2008, IEEE Transactions on Knowledge and Data Engineering.

[35]  S. Armstrong,et al.  A stand-alone photovoltaic supercapacitor battery hybrid energy storage system , 2008, 2008 13th International Power Electronics and Motion Control Conference.

[36]  Ravi Sankar,et al.  Time Series Prediction Using Support Vector Machines: A Survey , 2009, IEEE Computational Intelligence Magazine.

[37]  Jiejin Cai,et al.  Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks , 2009 .

[38]  Jiejin Cai,et al.  Applying support vector machine to predict hourly cooling load in the building , 2009 .

[39]  Dino Isa,et al.  PIPELINE DEFECT PREDICTION USING SUPPORT VECTOR MACHINES , 2009, Appl. Artif. Intell..

[40]  T. S. Bhatti,et al.  A review on electrochemical double-layer capacitors , 2010 .

[41]  Milena Stankovic,et al.  Mid-term load forecasting using recursive time series prediction strategy with support vector machines , 2010 .

[42]  Srdjan M. Lukic,et al.  Performance characterization and optimization of various circuit topologies to combine batteries and ultra-capacitors , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[43]  Han Zhonghe,et al.  Training Method of Support Vector Regression Based on Multi-dimensional Feature and Research on Forecast Model of Vibration Time Series , 2010, 2010 International Conference on Intelligent Computation Technology and Automation.

[44]  Alireza Khaligh,et al.  Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art , 2010, IEEE Transactions on Vehicular Technology.

[45]  Ali Emadi,et al.  Hybrid energy storage systems for high-performance hybrid electric vehicles , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[46]  Xin Zhao,et al.  The role of nanomaterials in redox-based supercapacitors for next generation energy storage devices. , 2011, Nanoscale.

[47]  A. Emadi,et al.  A New Battery/UltraCapacitor Hybrid Energy Storage System for Electric, Hybrid, and Plug-In Hybrid Electric Vehicles , 2012, IEEE Transactions on Power Electronics.

[48]  F. Béguin,et al.  Supercapacitors : materials, systems, and applications , 2013 .

[49]  A. Yu,et al.  Electrochemical Supercapacitors for Energy Storage and Delivery: Fundamentals and Applications , 2013 .

[50]  Sam Park,et al.  Graphical and mathematical analysis of fuel cell/battery passive hybridization with K factors , 2014 .

[51]  Haoran Zhao,et al.  Review of energy storage system for wind power integration support , 2015 .