Dipti Srinivasan
Dipti Srinivasan
IEEE Fellow; Professor, National University of
Adresă de e-mail confirmată pe nus.edu.sg - Pagina de pornire
Citat de
Citat de
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
Multi-agent reinforcement learning: An overview
L Bușoniu, R Babučka, B De Schutter
Innovations in multi-agent systems and applications-1, 183-221, 2010
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
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
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
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
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
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
Evolutionary computation in power systems
V Miranda, D Srinivasan, LM Proenca
International Journal of Electrical Power & Energy Systems 20 (2), 89-98, 1998
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
Multi-agent coordination for DER in MicroGrid
T Logenthiran, D Srinivasan, D Wong
2008 IEEE International Conference on Sustainable Energy Technologies, 77-82, 2008
Distributed geometric fuzzy multiagent urban traffic signal control
BP Gokulan, D Srinivasan
IEEE Transactions on Intelligent Transportation Systems 11 (3), 714-727, 2010
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
Multiobjective evolutionary algorithm with controllable focus on the knees of the Pareto front
L Rachmawati, D Srinivasan
IEEE Transactions on Evolutionary Computation 13 (4), 810-824, 2009
Smart charging strategies for optimal integration of plug-in electric vehicles within existing distribution system infrastructure
R Mehta, D Srinivasan, AM Khambadkone, J Yang, A Trivedi
IEEE Transactions on Smart Grid 9 (1), 299-312, 2016
Urban traffic signal control using reinforcement learning agents
PG Balaji, X German, D Srinivasan
IET Intelligent Transport Systems 4 (3), 177-188, 2010
Automatic hourly solar forecasting using machine learning models
GM Yagli, D Yang, D Srinivasan
Renewable and Sustainable Energy Reviews 105, 487-498, 2019
Review of power system impacts at high PV penetration Part I: Factors limiting PV penetration
O Gandhi, DS Kumar, CD Rodriguez-Gallegos, D Srinivasan
Solar Energy 210, 181-201, 2020
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
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
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