Dipti Srinivasan
Dipti Srinivasan
Professor, Department of Electrical & Computer Engineering, National University of Singapore
Verified email at nus.edu.sg - Homepage
TitleCited byYear
Demand side management in smart grid using heuristic optimization
T Logenthiran, D Srinivasan, TZ Shun
IEEE transactions on smart grid 3 (3), 1244-1252, 2012
8662012
Neural-network-based signature recognition for harmonic source identification
D Srinivasan, WS Ng, AC Liew
IEEE Transactions on Power Delivery 21 (1), 398-405, 2005
3962005
Neural networks for real-time traffic signal control
D Srinivasan, MC Choy, RL Cheu
IEEE Transactions on intelligent transportation systems 7 (3), 261-272, 2006
3322006
Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system
T Logenthiran, D Srinivasan, AM Khambadkone
Electric Power Systems Research 81 (1), 138-148, 2011
3152011
Short-term load and wind power forecasting using neural network-based prediction intervals
H Quan, D Srinivasan, A Khosravi
IEEE transactions on neural networks and learning systems 25 (2), 303-315, 2013
3072013
Multiagent system for real-time operation of a microgrid in real-time digital simulator
T Logenthiran, D Srinivasan, AM Khambadkone, HN Aung
IEEE Transactions on smart grid 3 (2), 925-933, 2012
2852012
Evolutionary computation in power systems
V Miranda, D Srinivasan, LM Proenca
International Journal of Electrical Power & Energy Systems 20 (2), 89-98, 1998
2711998
Cooperative, hybrid agent architecture for real-time traffic signal control
MC Choy, D Srinivasan, RL Cheu
IEEE Transactions on Systems, Man, and Cybernetics-Part A: systems and …, 2003
2312003
Mobile agents based routing protocol for mobile ad hoc networks
S Marwaha, CK Tham, D Srinivasan
Global Telecommunications Conference, 2002. GLOBECOM'02. IEEE 1, 163-167, 2002
2232002
Multi-agent coordination for DER in MicroGrid
T Logenthiran, D Srinivasan, D Wong
2008 IEEE International Conference on Sustainable Energy Technologies, 77-82, 2008
2132008
A survey of multiobjective evolutionary algorithms based on decomposition
A Trivedi, D Srinivasan, K Sanyal, A Ghosh
IEEE Transactions on Evolutionary Computation 21 (3), 440-462, 2016
2102016
Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting
D Srinivasan, CS Chang, AC Liew
IEEE Transactions on Power Systems 10 (4), 1897-1903, 1995
1831995
Multi-agent reinforcement learning: An overview
L Buşoniu, R Babuška, B De Schutter
Innovations in multi-agent systems and applications-1, 183-221, 2010
1812010
Distributed geometric fuzzy multiagent urban traffic signal control
BP Gokulan, D Srinivasan
IEEE Transactions on Intelligent Transportation Systems 11 (3), 714-727, 2010
1552010
Benchmarking a reduced multivariate polynomial pattern classifier
KA Toh, QL Tran, D Srinivasan
IEEE Transactions on Pattern Analysis & Machine Intelligence, 740-755, 2004
1512004
Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation
D Srinivasan, SS Tan, CS Cheng, EK Chan
IEEE Transactions on Power Systems 14 (3), 1100-1106, 1999
1491999
Short term generation scheduling of a microgrid
T Logenthiran, D Srinivasan
TENCON 2009-2009 IEEE Region 10 Conference, 1-6, 2009
1432009
Calibration of FRESIM for Singapore expressway using genetic algorithm
RL Cheu, X Jin, KC Ng, YL Ng, D Srinivasan
Journal of Transportation Engineering 124 (6), 526-535, 1998
1401998
Interval type-2 fuzzy logic systems for load forecasting: A comparative study
A Khosravi, S Nahavandi, D Creighton, D Srinivasan
IEEE Transactions on Power Systems 27 (3), 1274-1282, 2012
1392012
Preference incorporation in multi-objective evolutionary algorithms: A survey
L Rachmawati, D Srinivasan
2006 IEEE International Conference on Evolutionary Computation, 962-968, 2006
1392006
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