A novel electric load consumption prediction and feature selection model based on modified clonal selection algorithm

[1]  Farzin Piltan,et al.  Design a Novel SISO Off-line Tuning of Modified PID Fuzzy Sliding Mode Controller , 2014 .

[2]  Taher Niknam,et al.  Impact of Hydrogen Production and Thermal Energy Recovery of PEMFCPPs on Optimal Management of Renewable Microgrids , 2015, IEEE Transactions on Industrial Informatics.

[3]  Farzin Piltan,et al.  Design Minimum Rule-Base Fuzzy Inference Nonlinear Controller for Second Order Nonlinear System , 2014 .

[4]  Farzin Piltan,et al.  Design New Robust Self Tuning Fuzzy Backstopping Methodology , 2014 .

[5]  Tuyen V. Vu,et al.  Distributed adaptive control design for cluster of converters in DC distribution systems , 2017, 2017 IEEE Second International Conference on DC Microgrids (ICDCM).

[6]  Wei-Chiang Hong,et al.  Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model , 2009 .

[7]  Zahra Riahi Samani,et al.  On The Application of Fuzzy Ontology for Qualitative Spatial Reasoning , 2012 .

[8]  M. Hagan,et al.  The Time Series Approach to Short Term Load Forecasting , 1987, IEEE Transactions on Power Systems.

[9]  M.E. El-Hawary,et al.  Short term load forecasting by using wavelet neural networks , 2000, 2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492).

[10]  Taher Niknam,et al.  A Novel Stochastic Framework Based on Cloud Theory and $\theta $ -Modified Bat Algorithm to Solve the Distribution Feeder Reconfiguration , 2016, IEEE Transactions on Smart Grid.

[11]  Saeid Nahavandi,et al.  A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting , 2016, IEEE Transactions on Power Systems.

[12]  Chuntian Cheng,et al.  Short-Term Load Forecasting Using Support Vector Machine with SCE-UA Algorithm , 2007, Third International Conference on Natural Computation (ICNC 2007).

[13]  Wei-Chiang Hong,et al.  Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artific , 2011 .

[14]  Abdollah Kavousi-Fard.  Modeling Uncertainty in Tidal Current Forecast Using Prediction Interval-Based SVR , 2017, IEEE Transactions on Sustainable Energy.

[15]  Chris S. Edrington,et al.  An Effective Fuzzy Feature Selection and Prediction Method for Modeling Tidal Current: A Case of Persian Gulf , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Mohsen Ebrahimi Moghaddam,et al.  A knowledge-based semantic approach for image collection summarization , 2017, Multimedia Tools and Applications.

[17]  Hong-Tzer Yang,et al.  A new short-term load forecasting approach using self-organizing fuzzy ARMAX models , 1998 .

[18]  Ehsan Yavari,et al.  Recurrent Wavelet Network with New Initialization and its Application on Short-Term Load Forecasting , 2009, 2009 Third UKSim European Symposium on Computer Modeling and Simulation.

[19]  Zahra Riahi Samani,et al.  A fuzzy ontology model for qualitative spatial reasoning , 2012, 2011 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT).

[20]  George G. Karady,et al.  Fuzzy logic for short term load forecasting , 1996 .

[21]  Abdollah Kavousi-Fard,et al.  A Hybrid Accurate Model for Tidal Current Prediction , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Pedro Larrañaga,et al.  Feature Subset Selection by Bayesian network-based optimization , 2000, Artif. Intell..

[23]  Mohsen Ebrahimi Moghaddam,et al.  Image classification using ontology based improved visual words , 2015, 2015 23rd Iranian Conference on Electrical Engineering.

[24]  Ghadir Radman,et al.  Effective Energy Management of Hybrid AC–DC Microgrids With Storage Devices , 2019, IEEE Transactions on Smart Grid.

[25]  Jihoon Yang,et al.  Feature Subset Selection Using a Genetic Algorithm , 1998, IEEE Intell. Syst..

[26]  Caston Sigauke,et al.  Daily peak electricity load forecasting in South Africa using a multivariate non-parametric regression approach , 2010 .

[27]  M. Talaat,et al.  A New Approach for Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms , 2012 .

[28]  Rob J Hyndman,et al.  Short-Term Load Forecasting Based on a Semi-Parametric Additive Model , 2012, IEEE Transactions on Power Systems.

[29]  Stéphane Lallich,et al.  Fast Feature Selection Using Partial Correlation for Multi-vaslued Attributes , 2000, PKDD.

[30]  Wencong Su,et al.  A Combined Prognostic Model Based on Machine Learning for Tidal Current Prediction , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Farzin Piltan,et al.  Design High Efficiency-Minimum Rule Base PID Like Fuzzy Computed Torque Controller , 2014 .

[32]  Robert J. Marks,et al.  Electric load forecasting using an artificial neural network , 1991 .

[33]  C.S. Edrington,et al.  A heuristic method for optimal energy management of DC microgrid , 2017, 2017 IEEE Second International Conference on DC Microgrids (ICDCM).

[34]  Yang Zong-chang.  Modelling and forecasting of electric daily peak load movement based on the elliptic-orbit model with weekly periodic extension: a case study , 2014 .

[35]  Saeid Nahavandi,et al.  Reactive Power Compensation in Electric Arc Furnaces Using Prediction Intervals , 2017, IEEE Transactions on Industrial Electronics.

[36]  Gwo-Ching Liao,et al.  Application of a fuzzy neural network combined with a chaos genetic algorithm and simulated annealing to short-term load forecasting , 2006, IEEE Transactions on Evolutionary Computation.

[37]  Haidar Samet,et al.  A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting , 2014, Expert Syst. Appl..

[38]  Farzin Piltan,et al.  Research on Minimum Intelligent Unit for Flexible Robot , 2015 .

[39]  Abdollah Kavousi-Fard,et al.  A Novel Probabilistic Method to Model the Uncertainty of Tidal Prediction , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Hafiz Malik,et al.  Linking received packet to the transmitter through physical-fingerprinting of controller area network , 2017, 2017 IEEE Workshop on Information Forensics and Security (WIFS).