Apurva Narayan
TitleCited byYear
Risk-averse stochastic programming approach for microgrid planning under uncertainty
A Narayan, K Ponnambalam
Renewable energy 101, 399-408, 2017
Enhanced quantum evolutionary algorithms for difficult knapsack problems
C Patvardhan, A Narayan, A Srivastav
International Conference on Pattern Recognition and Machine Intelligence …, 2007
A novel quantum evolutionary algorithm for quadratic knapsack problem
A Narayan, C Patvardhan
2009 IEEE International Conference on Systems, Man and Cybernetics, 1388-1392, 2009
A stochastic programming approach for the planning and operation of a power to gas energy hub with multiple energy recovery pathways
U Mukherjee, A Maroufmashat, A Narayan, A Elkamel, M Fowler
Energies 10 (7), 868, 2017
Mining timed regular expressions from system traces
G Cutulenco, Y Joshi, A Narayan, S Fischmeister
Proceedings of the 5th International Workshop on Software Mining, 3-10, 2016
Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system
L Singh, A Narayan, S Kumar
2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on …, 2008
Dynamic fuzzy controller based multilayered architecture for extended battery life in mobile handheld devices
T Srivastava, A Narayan
2009 IEEE International Conference on Systems, Man and Cybernetics, 3035-3040, 2009
Mining timed regular specifications from system traces
A Narayan, G Cutulenco, Y Joshi, S Fischmeister
ACM Transactions on Embedded Computing Systems (TECS) 17 (2), 46, 2018
Long Short Term Memory Networks for Short-Term Electric Load Forecasting
A Narayan, KW Hipel
TREM: a tool for mining timed regular specifications from system traces
L Schmidt, A Narayan, S Fischmeister
Proceedings of the 32nd IEEE/ACM International Conference on Automated …, 2017
System call logs with natural random faults: Experimental design and application
A Narayan, S Kauffman, J Morgan, GM Tchamgoue, Y Joshi, C Hobbs, ...
SELSE-13: the 13th workshop on silicon errors in logic, system effects …, 2017
Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices
A Narayan, KW Hipel, K Ponnambalam, S Paul
2011 IEEE International Conference on Systems, Man, and Cybernetics, 2121-2126, 2011
Learning graph dynamics using deep neural networks
A Narayan, PHON Roe
IFAC-PapersOnLine 51 (2), 433-438, 2018
Mining specifications using nested words
A Narayan, N Benann, S Fischmeister
2017 6th International Workshop on Software Mining (SoftwareMining), 9-16, 2017
Spatial Dependence Modeling of Wind Resource under Uncertainty Using C-Vine Copulas and Its Impact on Solar-Wind Energy Co-Generation
A Narayan, K Ponnambalam, SA Pagsuyoin
Preprints, 2017
A Framework For Microgrid Planning Using Multidisciplinary Design Optimization
A Narayan
University of Waterloo, 2015
Deep Learning for System Trace Restoration
I Sucholutsky, A Narayan, M Schonlau, S Fischmeister
arXiv preprint arXiv:1904.05411, 2019
Multimodal Data Fusion and Prediction of Emotional Dimensions Using Deep Neural Network
D Bhandari, S Paul, A Narayan
Computational Intelligence: Theories, Applications and Future Directions …, 2019
Spatial dependence modeling and allocation of wind/solar resources using C-Vine copulas and value-at-risk
A Narayan, K Ponnambalam
2015 AMMCS-CAIMS Congress, Waterloo, Canada, 2015
Moments Based Fitting of Kumaraswamy PDF for Estimating VaR in Portfolio Optimization
A Narayan, K Ponnambalam
Industrial-Academic Workshop on Optimization in Finance and Risk Management, 2013
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Articles 1–20