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A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting JOURNAL ARTICLE published November 2016 in International Journal of Electrical Power & Energy Systems |
Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting PROCEEDINGS ARTICLE published 8 January 2015 in Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication |
Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data PROCEEDINGS ARTICLE published August 2016 in 2016 3rd International Conference on Computer and Information Sciences (ICCOINS) |
Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm JOURNAL ARTICLE published February 2018 in Neural Computing and Applications |
Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system PROCEEDINGS ARTICLE published July 2017 in 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems PROCEEDINGS ARTICLE published October 2016 in 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System BOOK CHAPTER published 2015 in Neural Information Processing |
Optimal design of adaptive type-2 neuro-fuzzy systems: A review JOURNAL ARTICLE published July 2016 in Applied Soft Computing |
Short term load forecasting using Interval Type-2 Fuzzy Logic Systems PROCEEDINGS ARTICLE published June 2011 in 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) |
Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction JOURNAL ARTICLE published May 2014 in IEEE Transactions on Industrial Informatics |
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting PROCEEDINGS ARTICLE published August 2013 in The 2013 International Joint Conference on Neural Networks (IJCNN) |
Electricity load and price forecasting with influential factors in a deregulated power industry PROCEEDINGS ARTICLE published June 2014 in 2014 9th International Conference on System of Systems Engineering (SOSE) |
Electrical load time series data forecasting using interval type-2 fuzzy logic system PROCEEDINGS ARTICLE published July 2010 in 2010 3rd International Conference on Computer Science and Information Technology |
The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems PROCEEDINGS ARTICLE published May 2015 in 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC) |
Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm JOURNAL ARTICLE published 2022 in Computers, Materials & Continua |
Examining performance of aggregation algorithms for neural network-based electricity demand forecasting JOURNAL ARTICLE published January 2015 in International Journal of Electrical Power & Energy Systems |
Improving load forecasting accuracy through combination of best forecasts PROCEEDINGS ARTICLE published October 2012 in 2012 IEEE International Conference on Power System Technology (POWERCON) |
A hybrid system using Possibilistic fuzzy C-mean and Interval type-2 Fuzzy logic for forecasting: A review PROCEEDINGS ARTICLE published June 2012 in 2012 International Conference on Computer & Information Science (ICCIS) |
Interval Type-2 Intuitionistic Fuzzy Logic System for Forecasting the Electricity Load JOURNAL ARTICLE published 2020 in International Journal of Advances in Scientific Research and Engineering |
Interval type 2 fuzzy logic for significant wave height forecasting PROCEEDINGS ARTICLE published November 2012 in 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA) |