Saima Hassan
Saima Hassan
Assistant Professor at the Institute of Information Technology, Kohat University of Science
Verified email at kust.edu.pk
Title
Cited by
Cited by
Year
A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting
S Hassan, A Khosravi, J Jaafar, MA Khanesar
International Journal of Electrical Power & Energy Systems 82, 1-10, 2016
392016
Examining performance of aggregation algorithms for neural network-based electricity demand forecasting
S Hassan, A Khosravi, J Jaafar
International Journal of Electrical Power & Energy Systems 64, 1098-1105, 2015
322015
Optimal design of adaptive type-2 neuro-fuzzy systems: A review
S Hassan, MA Khanesar, E Kayacan, J Jaafar, A Khosravi
Applied Soft Computing 44, 134-143, 2016
262016
ARIMA based Interval Type-2 Fuzzy Model for Forecasting
S Hassan, J Jaafar, BB Samir, TA Jillani
International Journal of Computer Applications 28 (3), 17-21, 2011
222011
Intelligent methods for weather forecasting: A review
H Saima, J Jaafar, S Belhaouari, TA Jillani
2011 National Postgraduate Conference, 1-6, 2011
172011
A Hybrid Fuzzy Time Series Model for Forecasting.
S Hassan, J Jaafar, BB Samir, TA Jilani
Engineering Letters 20 (1), 2012
112012
Load forecasting accuracy through combination of trimmed forecasts
S Hassan, A Khosravi, J Jaafar, SB Belhaouari
International Conference on Neural Information Processing, 152-159, 2012
82012
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
S Hassan, A Khosravi, J Jaafar
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013
72013
Electricity load and price forecasting with influential factors in a deregulated power industry
S Hassan, A Khosravi, J Jaafar, MQ Raza
2014 9th International Conference on System of Systems Engineering (SOSE), 79-84, 2014
62014
An improved heuristic-based fuzzy time series forecasting model using genetic algorithm
TA Jilani, U Amjad, J Jaafar, S Hassan
2012 International Conference on Computer & Information Science (ICCIS) 1 …, 2012
62012
Improving load forecasting accuracy through combination of best forecasts
S Hassan, A Khosravi, J Jaafar
2012 IEEE International Conference on Power System Technology (POWERCON), 1-6, 2012
62012
Bayesian model averaging of load demand forecasts from neural network models
S Hassan, A Khosravi, J Jaafar
2013 IEEE International Conference on Systems, Man, and Cybernetics, 3192-3197, 2013
52013
Hybrid model for the training of interval type-2 fuzzy logic system
S Hassan, A Khosravi, J Jaafar, MA Khanesar
International Conference on Neural Information Processing, 644-653, 2015
42015
Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system
S Hassan, MA Khanesar, A Hajizadeh, A Khosravi
2017 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2017
32017
Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS
S Hassan, MA Khanesar, J Jaafar, A Khosravi
Applied Soft Computing 51, 130-144, 2017
32017
Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting
S Hassan, A Khosravi, J Jaafar
Proceedings of the 9th International Conference on Ubiquitous Information …, 2015
32015
A hybrid system using possibilistic fuzzy C-mean and interval type-2 fuzzy logic for forecasting: a review
H Shah, J Jaafar, R Ibrahim, H Saima, H Maymunah
2012 International Conference on Computer & Information Science (ICCIS) 1 …, 2012
32012
Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm
S Hassan, MA Khanesar, J Jaafar, A Khosravi
Neural Computing and Applications 29 (4), 1001-1014, 2018
22018
Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data
S Hassan, J Jaafar, MA Khanesar, A Khosravi
2016 3rd International Conference on Computer and Information Sciences …, 2016
22016
Variance-covariance based weighing for neural network ensembles
S Hassan, A Khosravi, J Jaafar
2013 IEEE International Conference on Systems, Man, and Cybernetics, 3214-3219, 2013
22013
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