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Electronics and Electrical Engineering
Greece
2026
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Engineering and Technology
Greece
2023

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
14502
World Ranking
1731
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Greece Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Greece Leader Award
  • 2023 - Research.com Engineering and Technology in Greece Leader Award
  • 2022 - Research.com Engineering and Technology in Greece Leader Award
  • 2015 - IEEE Fellow For contributions to optimization of power systems operation and scheduling

Overview

Anastasios G. Bakirtzis is affiliated with Aristotle University of Thessaloniki in Greece. Their primary field of study is Engineering, with a concentration in Electrical and Electronic Engineering. Their research encompasses a range of topics related to electric power systems and energy management.

The main topics covered in their work include:

  • Electric Power System Optimization
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Integrated Energy Systems Optimization
  • Auction Theory and Applications
  • Energy Load and Power Forecasting

Frequent publication venues include:

  • Electric Power Systems Research
  • Journal of Energy Storage
  • IEEE Transactions on Industry Applications
  • IEEE Open Access Journal of Power and Energy
  • 2021 International Conference on Smart Energy Systems and Technologies (SEST)

Recent papers by Anastasios G. Bakirtzis cover various aspects of power system operation and market participation:

  • Market-based TSO-DSO coordination for enhanced flexibility services provision, 2022, Electric Power Systems Research
  • Optimal Participation of RES Aggregators in Energy and Ancillary Services Markets, 2022, IEEE Transactions on Industry Applications
  • Day-ahead local flexibility market for active and reactive power with linearized network constraints, 2022, Electric Power Systems Research
  • Optimal participation of RES aggregators in electricity markets under main imbalance pricing schemes: Price taker and price maker approach, 2022, Electric Power Systems Research
  • A Stochastic Two-Stage Model for the Integrated Scheduling of the Electric and Natural Gas Systems, 2020, IEEE Open Access Journal of Power and Energy

Frequent co-authors collaborating with Bakirtzis include:

  • Pandelis N. Biskas
  • Ilias G. Marneris
  • Andreas V. Ntomaris
  • Georgios K. Papazoglou
  • Aikaterini Forouli

In 2015, Bakirtzis was recognized as an IEEE Fellow for contributions to the optimization of power systems operation and scheduling.

Best Publications

  • A genetic algorithm solution to the unit commitment problem

    S.A. Kazarlis;A.G. Bakirtzis;V. Petridis

  • Optimal power flow by enhanced genetic algorithm

    A. G. Bakirtzis;P. N. Biskas;C. E. Zoumas;V. Petridis

  • A solution to the unit-commitment problem using integer-coded genetic algorithm

    I.G. Damousis;A.G. Bakirtzis;P.S. Dokopoulos

  • A neural network short term load forecasting model for the Greek power system

    A.G. Bakirtzis;V. Petridis;S.J. Kiartzis;M.C. Alexiadis

  • Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR

    Ozan Erdinc;NG Nikolaos Paterakis;Tiago D P Mendes;Anastasios G Bakirtzis

  • Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets

    Stylianos I. Vagropoulos;Anastasios G. Bakirtzis

  • Optimal Household Appliances Scheduling Under Day-Ahead Pricing and Load-Shaping Demand Response Strategies

    Nikolaos G. Paterakis;Ozan Erdinc;Anastasios G. Bakirtzis;Joao P. S. Catalao

  • Genetic algorithm solution to the economic dispatch problem

    A. Bakirtzis;V. Petridis;S. Kazarlis

  • Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach

    Evaggelos G. Kardakos;Christos K. Simoglou;Anastasios G. Bakirtzis

  • Network-constrained economic dispatch using real-coded genetic algorithm

    I. G. Damousis;A. G. Bakirtzis;P. S. Dokopoulos

  • A decentralized solution to the DC-OPF of interconnected power systems

    A.G. Bakirtzis;P.N. Biskas

  • Short term load forecasting using fuzzy neural networks

    A.G. Bakirtzis;J.B. Theocharis;S.J. Kiartzis;K.J. Satsios

  • Bidding strategies for electricity producers in a competitive electricity marketplace

    V.P. Gountis;A.G. Bakirtzis

  • Coordinated Operation of a Neighborhood of Smart Households Comprising Electric Vehicles, Energy Storage and Distributed Generation

    Nikolaos G. Paterakis;Ozan Erdinc;Iliana N. Pappi;Anastasios G. Bakirtzis

  • Design of a stand alone system with renewable energy sources using trade off methods

    E.S. Gavanidous;A.G. Bakirtzis

  • Optimal Self-Scheduling of a Thermal Producer in Short-Term Electricity Markets by MILP

    Christos K Simoglou;Pandelis N Biskas;Anastasios G Bakirtzis

  • A genetic algorithm solution approach to the hydrothermal coordination problem

    C.E. Zoumas;A.G. Bakirtzis;J.B. Theocharis;V. Petridis

  • Comparison of SARIMAX, SARIMA, modified SARIMA and ANN-based models for short-term PV generation forecasting

    Stylianos I. Vagropoulos;G. I. Chouliaras;E. G. Kardakos;C. K. Simoglou

  • A novel approach to short-term load forecasting using fuzzy neural networks

    S.E. Papadakis;J.B. Theocharis;S.J. Kiartzis;A.G. Bakirtzis

  • A new perspective for sizing of distributed generation and energy storage for smart households under demand response

    Ozan Erdinc;NG Nikolaos Paterakis;Iliana N Pappi;Anastasios G Bakirtzis

  • A decentralized implementation of DC optimal power flow on a network of computers

    P.N. Biskas;A.G. Bakirtzis;N.I. Macheras;N.K. Pasialis

  • Fuzzy modeling for short term load forecasting using the orthogonal least squares method

    P.A. Mastorocostas;J.B. Theocharis;A.G. Bakirtzis

  • Multi-Objective Reconfiguration of Radial Distribution Systems Using Reliability Indices

    Nikolaos G. Paterakis;Andrea Mazza;Sergio F. Santos;Ozan Erdinc

Frequent Co-Authors

Joao P. S. Catalao
Joao P. S. Catalao University of Porto
Dimitris P. Labridis
Dimitris P. Labridis Aristotle University of Thessaloniki
Manuel A. Matos
Manuel A. Matos University of Porto
João Peças Lopes
João Peças Lopes University of Porto
Nikos D. Hatziargyriou
Nikos D. Hatziargyriou National Technical University of Athens
A. P. Sakis Meliopoulos
A. P. Sakis Meliopoulos Georgia Institute of Technology
Kevin Tomsovic
Kevin Tomsovic University of Tennessee at Knoxville
Venkataramana Ajjarapu
Venkataramana Ajjarapu Iowa State University
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Aleksandar M. Stankovic
Aleksandar M. Stankovic Tufts University

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