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Journal Articles -
International Refereed
1.
Bi, Y, D Srinivasan, X Lu And Z Sun,
"Type-2 Fuzzy Multi –Intersection Traffic Signal Control With
Differential Evolution Optimization". Expert Systems With Applications, (2014). To appear.
2.
Quan, H, D Srinivasan And A Khosravi,
"Uncertainty Handling Using Neural Network-Based Prediction Intervals
For Electrical Load Forecasting". ENERGY, To appear.
3.
Thillainathan, L, D Srinivasan* And V KOH,
"Demand Side Management Of Smart Grid: Load Shifting And
Incentives". International Journal Of
Renewable & Sustainable Energy, To
appear.
4.
Srinivasan, D, T T LY And
C Singh, "Bidding And Cooperation Strategies For Electricity Buyers In
Power Markets". IEEE Systems Journal. To appear.
5.
Tze, S, N Wang, D Srinivasan And Y Bi,
"Optimal Tuning Of Type -2 Fuzzy Logic Power System Stabilizer Based
On Differential Evolution Algorithm". International Journal Of Electrical Power & Energy Systems. To appear.
6.
ZHAO, X, J X Xu And D Srinivasan, "A
Novel And Efficient Local Coordinated Freeway Ramp Metering Strategy With
SPSA Based Parameter Learning". IET Intelligent Transport Systems, To appear.
7.
Balaji, PG And D Srinivasan, "Modified Symbiotic Evolutionary
Learning For Type 2 Fuzzy Systems". IEEE Systems Journal
, (2014). To appear.
8.
QUAN, H, D Srinivasan And A Khosravi,
"Particle Swarm Optimization For Construction Of Prediction Intervals".
Neurocomputing, 127 (2014): 172-180.
9.
QUAN, H, D Srinivasan* And A Khosravi, "Short-Term Load And Wind
Power Forecasting Using Neural Network –Based Prediction Intervals".
IEEE Transactions On Neural Networks, 25, No. 2 (2014):
303-315. (United States).
10.
SHARMA, D, D Srinivasan, T ANUPAM And T Logenthiran,
"Multi-Agent Modeling For Solving Profit
Based Unit Commitment Problem". Applied Soft Computing, 13, No. 3
(2013): 3751–3761. (United States).
11.
VISHAL, S And D Srinivasan, "A Hybrid Intelligent Model
Based On Recurrent Neural Networks And Excitable Dynamics For Price
Prediction In Deregulated Electricity Market". Engineering
Applications Of Artificial Intelligence, 26, No. 5-6 (2013):1562–1574
12.
BALAJI, P G And D Srinivasan, "Modified Symbiotic Evolutionary
Learning For Type 2 Fuzzy System". Fuzzy Sets
And Systems, (2013). (Netherlands).
13.
ANUPAM, T, D Srinivasan, D Sharma And C
Singh, "Evolutionary Multi-Objective Day -Ahead Thermal Generation
Scheduling In Uncertain Environment". IEEE Transactions On Power Systems , 28, No. 2 (2013): 1345 – 1354. (United
States).
14.
Xu, J X, X ZHAO* And D Srinivasan, "On Optimal Freeway Local
Ramp Metering Using Fuzzy Logic Control With Particle Swarm
Optimization". IET Intelligent Transport Systems, 7, No. 1 (2013):
95-104. (United States).
15.
THILLAINATHAN, L And D Srinivasan,
"Optimal Selection And Sizing Of Distributed Energy Resources For
Distributed Power Systems". Journal Of
Renewable & Sustainable Energy, 4, No. 5 2012). (United States).
16.
KARUPPIAH, B, D Srinivasan And T Reindl, "Impact Of Distributed
Generation On Power Distribution Systems". Energy Procedia,
25 (2012): 82-92. (United States).
17.
Khosravi, A, S Nahavandi, D Creighton And D Srinivasan, "Interval Type -2 Fuzzy Logic
Systems For Load Forecasting: A Comparative Study". IEEE Transactions On Power Systems, 27, No. 3 (2012): 1274 - 1282. (United
States).
18.
THILLAINATHAN, L, D Srinivasan And TZ Shun, "Demand Side
Management In Smart Grid Using Heuristic Optimization". IEEE
Transactions On Smart Grid, (2012). (United
States).
19.
THILLAINATHAN, L, D Srinivasan, A M Khambadkone And
N A HTAY, "Multi-Agent System For Real-Time Optimal Operation Of A
Microgrid In Real-Time Digital Simulator". IEEE Transactions On Smart Grid, 3, No. 2 (2012): 925-933. (United
States).
20.
THILLAINATHAN, L And D Srinivasan,
"Multi-Agent System For The Operation Of An Integrated
Microgrid". IST Transactions Of Renewable And
Sustainable Energy, 4, No. 1 (2012). (Canada).
21.
YADAV, V And D Srinivasan, "A
SOM-Based Hybrid Linear-Neural Model For Short Term Load Forecasting".
Neurocomputing , 74, No. 17 (2011): 2874-2885. (Netherlands).
22.
PINDORIYA, N M, P JIRUTITIJAROEN, D Srinivasan And
C Singh, "Composite Reliability Evaluation Using Monte Carlo
Simulation And Least Squares Support Vector Classifier". IEEE
Transactions On Power Systems, 26, No. 4 (2011):
2483-2490. (United States).
23.
BALAJI, P G And D Srinivasan, "Type-2
Fuzzy Logic Based Urban Traffi Management".
Engineering Applications Of Artificial Intelligence ,
24, No. 1 (2011). (United Kingdom).
24.
THILLAINATHAN, L, D Srinivasan And A M
Khambadkone, "Multi-Agent System For Energy Resource Scheduling Of
Integrated Microgrids In A Distributed
System". Electric Power Systems Research ,
81, No. 1 (2011): 138-148. (Switzerland).
25.
BALAJI, P G And D Srinivasan,
"MULTIAGENT SYSTEM IN URBAN TRAFFIC SIGNAL CONTROL". IEEE
Computational Intelligence Magazine, 5, No. 4 (2010): 43-51.
26.
BALAJI, P G, J A G XAVIER And D Srinivasan, "Urban Traffic
Signal Control Using Reinforcement Learning Agents". IET Intelligent
Transport Systems, 4, No. 3 (2010): 177-188. (United States).
27.
BALAJI, P G And D Srinivasan, "Distributed Geometric Fuzzy
Multi-Agent Urban Traffic Signal Control". IEEE Transactions On Intelligent Transportation Systems, 11, No. 3 (2010):
714-727.
28. LILY, R And D
Srinivasan, "Incorporating The Notion Of Relative Importance Of
Objectives In
Evolutionary Multiobjective
Optimization". IEEE Transactions On
Evolutionary Computation, 14, No. 4 (2010): 530-546. (United States).
29.
Srinivasan D, RJ Howlett, I Lovrek, LC Jain And CP Lim, "Design And
Application Of Neural Networks And Intelligent Learning Systems". Neurocomputing, 73, No.
4-6 (2010): 591-592.
30.
DENG, H, D Srinivasan* And R Oruganti, "B-Spline
Network Based Neural Controller For Power Electronics Application". Neurocomputing, 73, No. 4-6 (2010):593-601.
31.
LILY,
R and D Srinivasan, "Multiobjective
Evolutionary Algorithm With Controllable Focus on
the Knees of the Pareto Front". IEEE
Transactions on Evolutionary Computation, 13, no. 4 (2009): 810-824.
32.
Srinivasan,
D, C W CHAN and P G BALAJI, "Hybrid Fuzzy Neural network for
Congestion Prediction in a Dynamic Urban Street Network". NEUROCOMPUTING, 72, no. 10-12 (2009).
33.
Srinivasan,
D, "Energy Demand Prediction using GMDH Networks". NEUROCOMPUTING, 72, no. 1 (2008)
34.
Srinivasan,
D and L Rachmawati, "Efficient Fuzzy
Evolutionary Algorithm-based Approach for Solving Student Project
Allocation Problem". IEEE
TRANSACTIONS ON EDUCATION,
51, no. 4 (2008): 439-447.
35.
Srinivasan,
D and D Woo, "Evolving Cooperative Bidding Strategies in a Power
Market". APPLIED
INTELLIGENCE, 29, no. 2
(Special on Soft Computing Techniques Applied to Finance) (2008): 162-173.
36.
Srinivasan,
D, S VISHAL and KA Toh, "Reduced Multivariate Polynomial Based Neural
Network for Automated Traffic Incident Detection". NEURAL NETWORKS, 21, no. 2-3 (2008): 484-492.
37.
DENG,
H, R Oruganti and D Srinivasan, "A Simple
Control Method for High-Performance UPS Inverters Through
Output-Impedance Reduction". IEEE
TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 55, no. 2 (2008): 888-898.
38.
DENG,
H, R Oruganti and D Srinivasan, "Neural
Controller for UPS Inverters Based on B-Spline Network". IEEE TRANSACTIONS ON INDUSTRIAL
ELECTRONICS, 55, no. 2
(2008): 899-909.
39.
Srinivasan,
D, S Sanyal and V Sharma, "Freeway Incident
Detection using Hybrid Fuzzy Neural Network". IET Intelligent Transport Systems, 1, no. 4 (2007): 249-259.
40.
Deng,
H, R Oruganti* and D Srinivasan, "Analysis
and Design of Iterative Learning Control Strategies for UPS
Inverters". IEEE
TRANSACTIONS ON INDUSTRIAL ELECTRONICS, no. 3 (2007): 1739-1751.
41.
Srinivasan,
D, D Woo and KW Lye, "Intelligent Learning Agents and Cooperation in a
Power Market". International
Journal of Computational Intelligence Theory and Practice, 1, no. 2 (2006): 81-89.
42. Srinivasan, D, M C Choy Cooperative Multi-agent System for
Coordinated Traffic Signal control". IEE Proc.Intelligent
Transportation Systems, (2006).
43. Long, Q L, K A Toh, D Srinivasan, "A Bimodal Palmprint Verification System". Lecture Notes
in Computer Science, (2006).
44. Srinivasan, D, W S Ng and A C Liew, "Neural Network-based
Signature Recognition for Harmonic Source Identification". IEEE
Transactions on Power Delivery, 21, no. 1
(2006): 398-405.
45.
Srinivasan,
D and M C Choy, "Neural Networks for Real-time Traffic Signal
Control". IEEE
Transactions on Intelligent Transportation Systems, 7, no. 3 (2006): 261-272.
46. Choy, M C, D Srinivasan and R L Cheu,
"Neural Networks for Continuous Online Learning and Control". IEEE
Transactions on Neural Networks, (2006).
47. Viswanathan, K, R Oruganti and D Srinivasan,
"Dual Mode Control of Cascade Buck-boost PFC Converter". IEEE
Transactions on Industrial Electronics, (2006).
48. Viswanathan, K, R Oruganti and D Srinivasan,
"Design and evaluation of tri-state boost converter". IEEE
Transactions on Power Electronics,
49. Srinivasan, D, M C Choy, "Neural Networks for Real-time
Traffic Signal Control". IEEE Transactions on Intelligent
Transportation System, (2006).
50. Viswanathan, K, R Oruganti and D Srinivasan,
"Non-linear function controller: A simple alternative to fuzzy logic
controller for a power electronic converter", IEEE Transactions on
Industrial Electronics, (2005): 1439-1448.
51. Viswanathan, K, R Oruganti and D Srinivasan,
"Dual mode control of tri-state boost converter for improved
performance". IEEE Transactions on Power Electronics, (2005).
52. Deng, H, R Oruganti and D
Srinivasan, "A Simple Control Method for High Performance UPS
Inverters through Output Impedance Reduction". IEEE Transactions on
Industrial Electronics ,
(2005).
53. Srinivasan, D, J Xin and R L Cheu,
"Adaptive Neural Network Models for Automatic Incident Detection on
Freeways". Neurocomputing, 64 (2005):
473-496.
54. Yau, WY, SL Goh, J Li, KA Toh and D Srinivasan, "Using the
unified orientation model for fingerprint classification". Dynamics
of Continuous, Discrete and Impulsive Systems, (2005): 668-673.
55. Goh, S. L., J Li, W. Y. Yau, K. A.
Toh and D Srinivasan, "Fingerprint Classification Based on Orientation
Model". Multimedia Cyberscape Journal,
(2005).
56. Long, Q L, K A Toh, D Srinivasan, K L Wong and S Q Low,
"An Empirical Comparison of Nine Pattern Classifiers". IEEE
Transactions on Systems, Man and Cybernetics Part B - Cybernetics
, 35, no. 5 (2005):
1079-1091.
57. Deng, H, R Oruganti and D
Srinivasan, "PWM methods to handle time delay in digital control of
UPS inverters". IEEE Power Electronics Letters, 3, no. 1
(2005).
58. Toh, K. A., Q. L. Tran and D Srinivasan, "Benchmarking A Reduced Multivariate Polynomial Pattern
Classifier". IEEE Transactions on Pattern Analysis and Machine Intelligence ,
26, no. 6 (2004):740-755.
59. Srinivasan, D, X Jin and R L Cheu,
"Evaluation of adaptive neural network models for freeway incident
detection". IEEE Transactions on Intelligent Transportation System,
5, no. 1 (2004): 1-11.
60. Cheu, R L, D Srinivasan and W H Loo, "Training neural
networks to detect freeway incidents using particle swarm
optimization". Transportation Research Record, 1867 (2004):
11-18.
61. Choy, M C, R L Cheu, D Srinivasan
and F Logi, "Real-time signal control using
agents with online reinforcement learning". Transportation Research
Record, 1836 (2003): 596-607.
62. Choy, M C, D Srinivasan and R L Cheu,
"Cooperative, hybrid agent architecture for real-time traffic signal
control". IEEE Transactions on Systems, Man and Cybernetics Part A
- Systems and Humans ,
33 (2003): 597-604.
63. Viswanathan, K, R Oruganti and D Srinivasan,
"A novel tri-state boost converter with fast dynamics", IEEE
Transactions on Power Electronics, 17, no. 5 (2002): 677-683.
64. Jin, X, R L Cheu and D Srinivasan,
"Development and adaptation of constructive probabilic
neural networks in freeway incident detection". Transportation
Research Part C - Emerging Technologies , 10, no. 2 (2002): 121-147.
65.
Srinivasan, D, S S TAN, C S Chang and E K CHAN, Parallel Neural
Network-Fuzzy Export System Strategy for short-term Load Forecasting:
System Implementation and performance Evaluation. IEEE Transactions on
Power Systems, 14 (1999): P1100.
66.
Chang, C S, J S Low and D
Srinivasan, Application of tabu search in
optimal system design and operation of MRT power supply system. IEE
Proceedings. B, Electric Power Applications, 146, 1 (Jan 1999): 75-80.
67.
Srinivasan, D, A C Liew and K
L Lim, Application of evolutionary computation for machine design
optimization. Engineering Intelligent Systems for Electrical
Engineering and Communications, 7, 3 (1999): 127-130.
68.
Srinivasan, D, R L Cheu, Y P Poh and A K C Ng, Automated fault
detection in power distribution networks using a hybrid fuzzy-genetic
algorithm approach. Engineering Applications of Artificial
Intelligence, 13 (2000): 407-418.
69.
Srinivasan, D, R L Cheu, Y P Poh and A K C Ng, Development of an
intelligent technique for traffic network incident detention.
Engineering Applications of Artificial Intelligence, 13 (2000):
311-322.
70.
Jin, X, D Srinivasan and R L Cheu, Classification of traffic patterns for freeway
incident detection using constructive probabilistic neural networks.
IEEE Transactions on Neural Networks, 12, No.5 (2001): 1173-1187.
71.
Srinivasan, D and SRH Hoole, Fuzzy multiobject
optimisation for the starting design of a magnetic circuit. IEEE
Transactions on Magnetics, 32, no. 3 (May 1996): 1230-1233.
72.
Srinivasan, D, C S Chang and
M K Sim, Power system security assessment using artificial neural
networks. IES Journal, 36, no. 6 (September 1996): 67-70.
73.
Srinivasan, D and A Tettamanzi, A heuristics-guided evolutionary
approach to multiobjective
generation scheduling. IEE Proceedings. C,
Generation, Transmission, and Distribution, 143, no. 6
(November 1996): 553-559.
74.
Srinivasan, D and A Tettamanzi, An evolutionary algorithm for evaluation
of emission compliance options in view of the clean air act amendments.
IEEE Transactions on Power Systems, 12, no.1 (February
1997): 336-341.
75.
Chang, C S, J M Chen, A C
Liew, D Srinivasan and F S Wen, Fuzzy expert system for fault diagnosis
in power systems. Engineering Intelligent Systems, 5, no.2 (June 1997):
75-81.
76.
Chang, C S, J M Chen, D
Srinivasan, F S Wen and A C Liew, Fuzzy logic approach in power systems
fault section identification. IEE Proceedings. C, Generation,
Transmission, and Distribution, 144, no.5 (September
1997): 406-414.
77.
Miranda, V,
D Srinivasan and L M Proenca, Evolutionary
Computation in Power Systems. International Journal of Power &
Energy Systems, 20, 2 (February 1998): 89-98.
78.
Srinivasan, D, S S Tan, C S Chang and E K Chan, Practical
implementation of a hybrid fuzzy neural network for one day ahead load
forecasting. IEE Proceedings. C, Generation, Transmission, and
Distribution, 145, 6 (Nov 1998 November 1998): 687-692.
79.
Cheu,
R L, X Sin, K C Ng, Y L Ng and D Srinivasan, Calibration of FRESIM for
Singapore expressway using genetic algorithm. Journal of Transportation
Engineering, 124, no. 6 (November 1998): 526-535.
80.
Srinivasan, D, Evolving
Artificial Neural Networks for Short Term Load Forecasting. Neurocomputing, 23 (1998): 265-276.
81.
Srinivasan, D, A C Liew and C
S Chang, Integrated security constrained generation scheduling in an
interconnected system using an AI approach. Engineering Intelligent
Systems, 1, no.2 (September 1993): 119-124.
82.
Srinivasan, D, A C Liew, J S
P Chen and C S Chang, Intelligent maintenance scheduling of distribution
system components with operating constraints. Electric Power Systems
Research, 26, no.3 (1993): 203-209.
83.
Chang, C S, D Srinivasan and
A C Liew, A hybrid model for transient stability
evaluation of interconnected longitudinal power systems using neural
network/pattern recognition approach. IEEE Transactions on Power
Systems, 9, No.1 (February 1994): 85-92.
84.
Srinivasan, D, A C Liew, C S
Chang and J S P Chen, Intelligent operation of distribution network.
IEE Proceedings. C, Generation, Transmission, and
Distribution, 141, no.2 (March 1994): 106-116.
85.
Srinivasan, D, C S Chang and
A C Liew, Multi-objective generation scheduling using a fuzzy optimal
search technique. IEE Proceedings. C, Generation, Transmission, and
Distribution, C, 141, no.3 (May 1994): 233-242.
86.
Srinivasan, D, A C Liew and C
S Chang, A neuro-fuzzy network for electric load
forecasting based on load measurements and weather information. IES
Journal, Special M&E Issue, 34, no.6 (September 1994): 61-65.
87.
Srinivasan, D, A C Liew and C
S Chang, Forecasting daily load curves using a hybrid fuzzy-neural
approach. IEE Proceedings. C, Generation, Transmission,
and Distribution, 141, no.6 (November 1994): 561-567.
88.
Srinivasan, D, A C Liew and C
S Chang, Neural network short term load forecaster. Electric Power
Systems Research, 27, no.3 (1994): 227-234.
89.
Srinivasan, D, A C Liew and C
S Chang, Applications of fuzzy systems in power systems. Electric
Power Systems Research, 35, no. 1 (October 1995): 39-43.
90.
Srinivasan, D, C S Chang and
A C Liew, Demand forecasting using fuzzy neural computation with special
emphasis on weekends and public holiday forecasting. IEEE Transactions
on Power Systems, 10, no. 3 (November 1995): 1897-1903.
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