Fotis D. Kanellos

Orcid: 0000-0003-0433-1395

Affiliations:
  • Technical University of Crete, Department of Production Engineering and Management, Chania, Greece


According to our database1, Fotis D. Kanellos authored at least 12 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Real-time Energy Management System for a Multiport DC/AC Inverter.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

2022
Optimal Frequency Support by Residential Multi-Port Power Converters.
Proceedings of the 11th International Conference on Modern Circuits and Systems Technologies, 2022

2021
Optimal Scheduling and Real-Time Operation of Distribution Networks With High Penetration of Plug-In Electric Vehicles.
IEEE Syst. J., 2021

Energy sustainability: a definition and assessment model.
Oper. Res., 2021

Optimal Power Management for Residential PEV Chargers with Frequency Support Capability.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

2019
Power Management Method for Large Ports With Multi-Agent Systems.
IEEE Trans. Smart Grid, 2019

Multiagent-System-Based Operation Scheduling of Large Ports' Power Systems With Emissions Limitation.
IEEE Syst. J., 2019

2017
Optimal GHG Emission Abatement and Aggregate Economic Damages of Global Warming.
IEEE Syst. J., 2017

Real-Time Control Based on Multi-Agent Systems for the Operation of Large Ports as Prosumer Microgrids.
IEEE Access, 2017

MAS Based Demand Response Application in Port City Using Reefers.
Proceedings of the Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems, 2017

2016
Giovanni Saggio: Principles of Analog Electronics - CRC Press Taylor & Francis Group, 2014.
J. Intell. Robotic Syst., 2016

2013
Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013


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