Dipti Srinivasan

According to our database1, Dipti Srinivasan authored at least 166 papers between 1998 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., 2021

High-Frequency Link Matrix Rectifier in Discontinuous Conduction Mode With Reduced Input Current Distortion.
IEEE Trans. Ind. Electron., 2021

Neural Network Training for Uncertainty Quantification Over Time-Range.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances.
IEEE CAA J. Autom. Sinica, 2021

Optimal uncertainty-guided neural network training.
Appl. Soft Comput., 2021

Metric for evaluating normalization methods in multiobjective optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections.
IEEE Trans. Smart Grid, 2020

A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids.
IEEE Trans. Neural Networks Learn. Syst., 2020

Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection.
CoRR, 2020

Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020).
CoRR, 2020

SpinalNet: Deep Neural Network with Gradual Input.
CoRR, 2020

SD-LSTM Based Demand Response Framework for Prosumer Energy Management Systems.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Power System Sensitivity Matrix Estimation by Multivariable Least Squares Considering Mitigating Data Saturation.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Dynamic Normalization in MOEA/D for Multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting.
IEEE Trans. Smart Grid, 2019

Hybrid Planning Method Based on Cost-Benefit Analysis for Smart Charging of Plug-In Electric Vehicles in Distribution Systems.
IEEE Trans. Smart Grid, 2019

Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids.
IEEE Trans. Smart Grid, 2019

Information exchange based clustered differential evolution for constrained generation-transmission expansion planning.
Swarm Evol. Comput., 2019

The Role of the WCI Community in the IEEE CIM: An Activity Report [Society Briefs].
IEEE Comput. Intell. Mag., 2019

Reliable Photovoltaic Generation Forecasting via Quantile Determination.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

2018
Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework.
Unmanned Syst., 2018

A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment.
IEEE Trans. Smart Grid, 2018

Energy Management in Smart Distribution Systems With Vehicle-to-Grid Integrated Microgrids.
IEEE Trans. Smart Grid, 2018

Smart Charging Strategies for Optimal Integration of Plug-In Electric Vehicles Within Existing Distribution System Infrastructure.
IEEE Trans. Smart Grid, 2018

Asynchronous State Estimation for Discrete-Time Switched Complex Networks With Communication Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2018

Optimal Type-2 Fuzzy System For Arterial Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., 2018

Distributed Filtering for Discrete-Time T-S Fuzzy Systems With Incomplete Measurements.
IEEE Trans. Fuzzy Syst., 2018

Introduction to the Issue on Signal and Information Processing for Critical Infrastructures.
IEEE J. Sel. Top. Signal Process., 2018

A Review of Uncertainty Handling Techniques in Smart Grid.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

Automated Design of Machine Learning and Search Algorithms [Guest Editorial].
IEEE Comput. Intell. Mag., 2018

Adaptive Learning and Analytics in Engineering Education.
Proceedings of the IEEE International Conference on Teaching, 2018

Evaluating teaching effectiveness using quantitative student feedback.
Proceedings of the IEEE International Conference on Teaching, 2018

Empirical Investigations Into the Composite Differential Evolution on CEC 2017 Constrained Optimization Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Novel Active Rectification for Extended ZVS Operation of Bidirectional Full Bridge DC/DC Converter for Energy Storage Application.
Proceedings of the IECON 2018, 2018

2017
Leader-Follower Consensus of Multiagent Systems With Energy Constraints: A Markovian System Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Multiagent-Based Transactive Energy Framework for Distribution Systems With Smart Microgrids.
IEEE Trans. Ind. Informatics, 2017

A Consensus-Based Distributed Computational Intelligence Technique for Real-Time Optimal Control in Smart Distribution Grids.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition.
IEEE Trans. Evol. Comput., 2017

Robust fuzzy-model-based filtering for nonlinear networked systems with energy constraints.
J. Frankl. Inst., 2017

Extending unified differential evolution with a new ensemble of constraint handling techniques.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Competitiveness of reactive power compensation using PV inverter in distribution system.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

Hybrid SVM-SOPWM modulation of current-fed three-level inverter for high power application.
Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017

A unified differential evolution algorithm for constrained optimization problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Intelligent appliance control algorithm for optimizing user energy demand in smart homes.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Grid ancillary service using distributed computational intelligence based control of renewables and storage systems in a distribution network.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Guest Editorial Special Issue on "Neural Networks and Learning Systems Applications in Smart Grid".
IEEE Trans. Neural Networks Learn. Syst., 2016

Optimal Low Switching Frequency Pulsewidth Modulation of Current-Fed Three-Level Converter for Solar Power Integration.
IEEE Trans. Ind. Electron., 2016

Bidding and Cooperation Strategies for Electricity Buyers in Power Markets.
IEEE Syst. J., 2016

Distributed non-fragile filtering in sensor networks with energy constraints.
Inf. Sci., 2016

A genetic algorithm - differential evolution based hybrid framework: Case study on unit commitment scheduling problem.
Inf. Sci., 2016

Fuzzy-Based Multi-Agent System for Distributed Energy Management in Smart Grids.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Teaching sustainable energy course through real world case studies, projects and simulations.
Proceedings of the IEEE International Conference on Teaching, 2016

Comprehensive study and analysis of naturally commutated Current-Fed Dual Active Bridge PWM DC/DC converter.
Proceedings of the IECON 2016, 2016

Current-fed multilevel converters: An overview of circuit topologies and modulation techniques.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016

A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Global optimization through randomized group search in contracting regions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A multiobjective evolutionary algorithm based on decomposition for unit commitment problem with significant wind penetration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A comparative analysis of centralized and decentralized multi-agent architecture for service restoration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

NSGA-II for joint generation and voyage scheduling of an all-electric ship.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Optimal charging scheduling of plug-in electric vehicles for maximizing penetration within a workplace car park.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Implementation of demand side management of a smart home using multi-agent system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A novel hybrid method for planning and allocation of DGs in medium voltage networks considering voltage regulation and relay coordination.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Vector directed path generation and tracking for autonomous unmanned aerial/ ground vehicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding.
IEEE Trans. Smart Grid, 2015

Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2015

Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

Enhanced Multiobjective Evolutionary Algorithm Based on Decomposition for Solving the Unit Commitment Problem.
IEEE Trans. Ind. Informatics, 2015

Hybridizing genetic algorithm with differential evolution for solving the unit commitment scheduling problem.
Swarm Evol. Comput., 2015

Multi-agent system for managing distributed energy storage and electrical vehicles.
Intell. Decis. Technol., 2015

Naturally commutated current-fed three-phase bidirectional soft-switching DC-DC converter with new modulation technique.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015

An adaptive fuzzy based relay for protection of distribution networks.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A multi-objective genetic algorithm for unit commitment with significant wind penetration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Reinforcement learning algorithm for Agent-based Computational Economics (ACE) model of electricity markets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2014

Modified Symbiotic Evolutionary Learning for Type-2 Fuzzy System.
IEEE Syst. J., 2014

Particle swarm optimization for construction of neural network-based prediction intervals.
Neurocomputing, 2014

Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization.
Expert Syst. Appl., 2014

Market based multi-agent control of microgrid.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

High-frequency soft-switching LCC resonant current-fed DC/DC converter with high voltage gain for DC microgrid application.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2013
A hybrid intelligent model based on recurrent neural networks and excitable dynamics for price prediction in deregulated electricity market.
Eng. Appl. Artif. Intell., 2013

Multi-agent modeling for solving profit based unit commitment problem.
Appl. Soft Comput., 2013

Freeway ramp metering by macroscopic traffic scheduling with particle swarm optimization.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2013

Single intersection signal control based on Type-2 fuzzy logic.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2013

Construction of neural network-based prediction intervals for short-term electrical load forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

Fuzzy logic decision-making in multi-agent systems for smart grids.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

Forecasting Solar and Wind data using Dynamic Neural Network Architectures for a Micro-Grid ensemble.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

A reinforcement learning algorithm developed to model GenCo strategic bidding behavior in multidimensional and continuous state and action spaces.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
Demand Side Management in Smart Grid Using Heuristic Optimization.
IEEE Trans. Smart Grid, 2012

Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator.
IEEE Trans. Smart Grid, 2012

Construction of neural network-based prediction intervals using particle swarm optimization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Multi-objectivization of short-term unit commitment under uncertainty using evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Optimal sizing of Distributed Energy Resources for integrated microgrids using Evolutionary Strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A SOM-based hybrid linear-neural model for short-term load forecasting.
Neurocomputing, 2011

Type-2 fuzzy logic based urban traffic management.
Eng. Appl. Artif. Intell., 2011

Hybrid neural-evolutionary model for electricity price forecasting.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Hybrid model incorporating multiple scale dynamics for time series forecasting.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Optimizing the quality of bootstrap-based prediction intervals.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A modified hybrid particle swarm optimization approach for unit commitment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Co-evolutionary bidding strategies for buyers in electricity power markets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Multi-agent approach for profit based unit commitment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

LRGA for solving profit based generation scheduling problem in competitive environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., 2010

Incorporating the Notion of Relative Importance of Objectives in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2010

Design and application of neural networks and intelligent learning systems.
Neurocomputing, 2010

A B-spline network based neural controller for power electronic applications.
Neurocomputing, 2010

Multi-Agent System in Urban Traffic Signal Control.
IEEE Comput. Intell. Mag., 2010

A spiking neural network based on temporal encoding for electricity price time series forecasting in deregulated markets.
Proceedings of the International Joint Conference on Neural Networks, 2010

Fuzzy logic controller for freeway ramp metering with particle swarm optimization and PARAMICS simulation.
Proceedings of the FUZZ-IEEE 2010, 2010

Incorporation of imprecise goal vectors into evolutionary multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Multiobjective Evolutionary Algorithm With Controllable Focus on the Knees of the Pareto Front.
IEEE Trans. Evol. Comput., 2009

Computational intelligence-based congestion prediction for a dynamic urban street network.
Neurocomputing, 2009

Experience teaching a graduate level course in evolutionary computation.
IEEE Comput. Intell. Mag., 2009

Distributed multi-agent type-2 fuzzy architecture for urban traffic signal control.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
Neural Controller for UPS Inverters Based on B-Spline Network.
IEEE Trans. Ind. Electron., 2008

A Simple Control Method for High-Performance UPS Inverters Through Output-Impedance Reduction.
IEEE Trans. Ind. Electron., 2008

Efficient Fuzzy Evolutionary Algorithm-Based Approach for Solving the Student Project Allocation Problem.
IEEE Trans. Educ., 2008

Reduced multivariate polynomial-based neural network for automated traffic incident detection.
Neural Networks, 2008

Energy demand prediction using GMDH networks.
Neurocomputing, 2008

Evolving cooperative bidding strategies in a power market.
Appl. Intell., 2008

Coordination in distributed multi-agent system using type-2 fuzzy decision systems.
Proceedings of the FUZZ-IEEE 2008, 2008

Multi-Objective Evolutionary Algorithm -assisted automated parallel parking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Hyperbolic Function Networks for Pattern Classification.
Proceedings of the Trends in Neural Computation, 2007

Distributed Problem Solving using Evolutionary Learning in Multi-Agent Systems.
Proceedings of the Advances in Evolutionary Computing for System Design, 2007

Analysis and Design of Iterative Learning Control Strategies for UPS Inverters.
IEEE Trans. Ind. Electron., 2007

A Reduced Multivariate Polynomial Based Neural Network Model Pattern Classifier for Freeway Incident Detection.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Dual layered PSO Algorithm for evolving an Artificial Neural Network controller.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Co-Evolutionary algorithms for evolving buyers' bidding strategies in an electrival power market.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolutionary computation and economic time series forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Genetic Algorithm based route planner for large urban street networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A hybrid evolutionary algorithm for dynamic route planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Uncertainties reducing Techniques in evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Multi-agent System based Urban Traffic Management.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Neural Networks for Continuous Online Learning and Control.
IEEE Trans. Neural Networks, 2006

Neural Networks for Real-Time Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., 2006

Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Bimodal Palmprint Verification System.
Proceedings of the Advances in Biometrics, International Conference, 2006

Evolving cooperative behavior in a power market.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

An efficient multi-objective evolutionary algorithm with steady-state replacement model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

A multi-objective evolutionary algorithm with weighted-sum niching for convergence on knee regions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Evolving Cooperative Bidding Strategies in a Power Market.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Multi-Objective Genetic Algorithm with Controllable Convergence on Knee Regions.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Preference Incorporation in Multi-objective Evolutionary Algorithms: A Survey.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
An empirical comparison of nine pattern classifiers.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Nonlinear function controller: a simple alternative to fuzzy logic controller for a power electronic converter.
IEEE Trans. Ind. Electron., 2005

Adaptive neural network models for automatic incident detection on freeways.
Neurocomputing, 2005

A Hybrid Fuzzy Evolutionary Algorithm for A Multi-Objective Resource Allocation Problem.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Heuristics-based evolutionary algorithm for solving unit commitment and dispatch.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Particle Swarm Inspired Evolutionary Algorithm (PS-EA) for Multi-Criteria Optimization Problems.
Proceedings of the Evolutionary Multiobjective Optimization, 2005

2004
Evaluation of adaptive neural network models for freeway incident detection.
IEEE Trans. Intell. Transp. Syst., 2004

Benchmarking a Reduced Multivariate Polynomial Pattern Classifier.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Design and analysis of SISO fuzzy logic controller for power electronic converters.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Cooperative, hybrid agent architecture for real-time traffic signal control.
IEEE Trans. Syst. Man Cybern. Part A, 2003

Guest Editorial: IEEE 5th international conference on intelligent transportation systems papers.
IEEE Trans. Intell. Transp. Syst., 2003

Traffic incident detection using particle swarm optimization.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

Particle swarm optimization-based approach for generator maintenance scheduling.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

Evolving Feedforward Neural Network for Harmonics Signature Identification.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

2002
A novel routing protocol using mobile agents and reactive route discovery for ad hoc wireless networks.
Proceedings of the Proceedings 10th IEEE International Conference on Networks: Towards Network Superiority, 2002

Mobile agents based routing protocol for mobile ad hoc networks.
Proceedings of the Global Telecommunications Conference, 2002

Hybrid cooperative agents with online reinforcement learning for traffic control.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Classification of freeway traffic patterns for incident detection using constructive probabilistic neural networks.
IEEE Trans. Neural Networks, 2001

Flexible Generator Maintenance Scheduling in a Practical System Using Fuzzy Logic and Genetic Algorithm.
Proceedings of the Hybrid Information Systems, 2001

1998
Evolving artificial neural networks for short term load forecasting.
Neurocomputing, 1998


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