Dimitrios Papadaskalopoulos

Author

Also Known As

D. Papadaskalopoulos, Dimitrios A. Papadaskalopoulos, Dimitrios Papadaskalopoulos, Panagiotis Pediaditis, Papadaskalopoulos, Dimitrios

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

Imperial College London Southeast University Delft University of Technology National Technical University of Athens

About

Dimitrios Papadaskalopoulos is an author at Imperial College London specializing in engineering, energy management, and smart grid.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	27	2K
2	Business	13	15	615
3	Computer Engineering	4	4	169
4	Management	3	3	55
5	Education	1	1	109

Dimitrios Papadaskalopoulos

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
Deep Reinforcement Learning for Strategic Bidding in Electricity Markets Yujian Ye, Dawei Qiu, Mingyang Sun, IEEE Transactions on Smart Grid Artificial IntelligenceBenchmark Rl MethodsPower MarketEngineeringMachine Learning	2019	269
Proceedings of the 2011 IEEE Power and Energy Society General Meeting Ivana Kockar, Dimitrios Papadaskalopoulos, Goran Štrbac, Electrical EngineeringPower EngineeringEngineeringSmart GridEnergy Efficiency	2011	202
Decentralized Participation of Flexible Demand in Electricity Markets—Part I: Market Mechanism Dimitrios Papadaskalopoulos, Goran Štrbac IEEE Transactions on Power Systems Mathematical ProgrammingEngineeringElectricity Markets—partPrice ResponseDemand Flexibility	2013	167
Decentralized Participation of Flexible Demand in Electricity Markets—Part II: Application With Electric Vehicles and Heat Pump Systems Dimitrios Papadaskalopoulos, Goran Štrbac, Pierluigi Mancarella, IEEE Transactions on Power Systems Heat Pump SystemsEngineeringEnergy MarketsLagrangian RelaxationSignificant Potential	2013	162
Scalable coordinated management of peer-to-peer energy trading: A multi-cluster deep reinforcement learning approach Dawei Qiu, Yujian Ye, Dimitrios Papadaskalopoulos, Applied Energy Multi-cluster Deep ReinforcementEngineeringDeep Reinforcement LearningData ScienceEnergy Management	2021	144
Microgrids: Enhancing the Resilience of the European Megagrid Goran Štrbac, Nikos Hatziargyriou, João Peças Lopes, IEEE Power and Energy Magazine EngineeringEnergy RevolutionEnergy MarketsDistributed Energy GenerationEuropean Electricity Demand	2015	139
A Deep Reinforcement Learning Method for Pricing Electric Vehicles With Discrete Charging Levels Dawei Qiu, Yujian Ye, Dimitrios Papadaskalopoulos, IEEE Transactions on Industry Applications EngineeringMachine LearningIncluding Vehicle-to-gridEducationReinforcement Learning (Educational Psychology)	2020	109
Multi-Agent Deep Reinforcement Learning for Coordinated Energy Trading and Flexibility Services Provision in Local Electricity Markets Yujian Ye, Dimitrios Papadaskalopoulos, Quan Yuan, IEEE Transactions on Smart Grid	2022	105
Decarbonization of Electricity Systems in Europe: Market Design Challenges Goran Štrbac, Dimitrios Papadaskalopoulos, Nikolaos Chrysanthopoulos, IEEE Power and Energy Magazine Energy System DesignEngineeringAlternative Energy SolutionPower MarketEnergy Generation	2021	86
Decentralized Coordination of Microgrids With Flexible Demand and Energy Storage Dimitrios Papadaskalopoulos, Danny Pudjianto, Goran Štrbac IEEE Transactions on Sustainable Energy Distributed Energy SystemElectrical EngineeringEngineeringDc MicrogridsSmart Grid	2014	77

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