Thomas Reindl
According to our database1,
Thomas Reindl
authored at least 28 papers
between 2013 and 2019.
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Bibliography
2019
Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids.
IEEE Trans. Smart Grid, 2019
2018
Localization and analysis of surface charges trapped in AlGaN/GaN HEMTs using multiple secondary MIS gates.
Proceedings of the 48th European Solid-State Device Research Conference, 2018
2017
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Ind. Electron., 2017
A Consensus-Based Distributed Computational Intelligence Technique for Real-Time Optimal Control in Smart Distribution Grids.
IEEE Trans. Emerg. Top. Comput. Intell., 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
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
A genetic algorithm - differential evolution based hybrid framework: Case study on unit commitment scheduling problem.
Inf. Sci., 2016
Robust Reserve Capacity Provision and Peak Load Reduction from Buildings in Smart Grids.
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016
Cost-optimal operation for a flexible building with local PV in a Singaporean environment.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016
Proceedings of the IECON 2016, 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
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
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
Real-time display of data from a smart-grid on geographical map using a GIS tool and its role in optimization of game theory.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015
GIS as a tool for enhancing the optimization of demand side management in residential microgrid.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015
Real-time scheduling of time-shiftable loads in smart grid with dynamic pricing and photovoltaic power generation.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015
Optimal distributed generation allocation using evolutionary algorithms in meshed network.
Proceedings of the 2015 IEEE Innovative Smart Grid Technologies, 2015
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
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