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Miadreza Shafie-khah

Miadreza Shafie-khah

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Electronics and Electrical Engineering
Ireland
2026
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Electronics and Electrical Engineering
Finland
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
83
Citations
22355
World Ranking
436
National Ranking
1

Miadreza Shafie-khah publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Miadreza Shafie-khah sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 541 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Miadreza Shafie-khah D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Miadreza Shafie-khah sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 83 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Ireland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Finland Leader Award
  • 2023 - Research.com Engineering and Technology in Finland Leader Award
  • 2022 - Research.com Engineering and Technology in Finland Leader Award

Overview

Miadreza Shafie-khah is affiliated with Nowocert in Ireland and has an extensive research background in engineering, focusing primarily on electrical and electronic engineering. Their work spans multiple subfields including control and systems engineering, artificial intelligence, automotive engineering, and renewable energy, sustainability, and the environment.

The main areas of study for this researcher encompass smart grid energy management, microgrid control and optimization, and optimal power flow distribution. Additional topics of interest include electric power system optimization, electric vehicles and infrastructure, integrated energy systems optimization, and smart grid security and resilience.

Frequent coauthors of Miadreza Shafie-khah include:

  • João P. S. Catalào
  • Hannu Laaksonen
  • Pierluigi Siano
  • Jamshid Aghaei
  • Mehrdad Setayesh Nazar

Their recent publications demonstrate a focus on sustainable energy systems, forecasting models, and smart grid technologies. Notable recent works include:

  • Improved EMD-Based Complex Prediction Model for Wind Power Forecasting, 2020, IEEE Transactions on Sustainable Energy
  • Blockchain technology in the future smart grids: A comprehensive review and frameworks, 2021, International Journal of Electrical Power & Energy Systems
  • A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting, 2021, IEEE Transactions on Industrial Informatics
  • Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs, 2020, IEEE Transactions on Smart Grid
  • Frequency-Domain Decomposition and Deep Learning Based Solar PV Power Ultra-Short-Term Forecasting Model, 2021, IEEE Transactions on Industry Applications

Publications by Miadreza Shafie-khah frequently appear in journals such as:

  • International Journal of Electrical Power & Energy Systems
  • Energy
  • IEEE Access
  • SSRN Electronic Journal
  • IEEE Systems Journal

Beyond journal articles, Miadreza Shafie-khah has contributed to the field through book publications, including "Trading in Local Energy Markets and Energy Communities" released in 2023 by Springer International Publishing.

Best Publications

  • A Review of Smart Cities Based on the Internet of Things Concept

    Saber Talari;Miadreza Shafie-khah;Pierluigi Siano;Vincenzo Loia

  • Iot-based smart cities: A survey

    H. Arasteh;V. Hosseinnezhad;V. Loia;A. Tommasetti

  • Impact of distributed generation on protection and voltage regulation of distribution systems: A review

    Seyed-Ehsan Razavi;Ehsan Rahimi;Mohammad Sadegh Javadi;Ali Esmaeel Nezhad

  • Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting

    Fei Wang;Zhanyao Zhang;Chun Liu;Yili Yu

  • A survey of industrial applications of Demand Response

    Maryam H. Shoreh;Pierluigi Siano;Miadreza Shafie-khah;Vincenzo Loia

  • Optimal behavior of electric vehicle parking lots as demand response aggregation agents

    M. Shafie-khah;E. Heydarian-Forushani;G.J. Osorio;F.A.S. Gil

  • Price forecasting of day-ahead electricity markets using a hybrid forecast method

    M. Shafie-khah;M. Parsa Moghaddam;M.K. Sheikh-El-Eslami

  • Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects

    M. Di Somma;G. Graditi;E. Heydarian-Forushani;M. Shafie-khah

  • A Stochastic Home Energy Management System Considering Satisfaction Cost and Response Fatigue

    Miadreza Shafie-Khah;Pierluigi Siano

  • Dynamic Price Vector Formation Model-Based Automatic Demand Response Strategy for PV-Assisted EV Charging Stations

    Qifang Chen;Fei Wang;Bri-Mathias Hodge;Jianhua Zhang

  • Multi-Objective Optimization Model of Source–Load–Storage Synergetic Dispatch for a Building Energy Management System Based on TOU Price Demand Response

    Fei Wang;Lidong Zhou;Hui Ren;Xiaoli Liu

  • The values of market-based demand response on improving power system reliability under extreme circumstances

    Fei Wang;Fei Wang;Hanchen Xu;Ti Xu;Kangping Li

  • Allocation of Plug-In Vehicles' Parking Lots in Distribution Systems Considering Network-Constrained Objectives

    Nilufar Neyestani;Maziar Yazdani Damavandi;Miadreza Shafie-Khah;Javier Contreras

  • Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

    Oveis Abedinia;Mohamed Lotfi;Mehdi Bagheri;Behrouz Sobhani

  • A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting

    Seyed Mohammad Jafar Jalali;Sajad Ahmadian;Abbas Khosravi;Miadreza Shafie-khah

  • Blockchain technology in the future smart grids: A comprehensive review and frameworks

    Arezoo Hasankhani;Seyed Mehdi Hakimi;Mojtaba Bisheh-Niasar;Miadreza Shafie-khah

  • Synchronous Pattern Matching Principle-Based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description

    Fei Wang;Kangping Li;Chun Liu;Zengqiang Mi

  • Multi-Period Integrated Framework of Generation, Transmission, and Natural Gas Grid Expansion Planning for Large-Scale Systems

    Fatemeh Barati;Hossein Seifi;Mohammad Sadegh Sepasian;Abolfazl Nateghi

  • Optimal operation of hybrid AC/DC microgrids under uncertainty of renewable energy resources: A comprehensive review

    Motahareh Pourbehzadi;Taher Niknam;Jamshid Aghaei;Geev Mokryani

  • Probabilistic Load Forecasting Using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine

    Mehdi Rafiei;Taher Niknam;Jamshid Aghaei;Miadreza Shafie-Khah

  • Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns

    Fei Wang;Fei Wang;Kangping Li;Neven Duić;Zengqiang Mi

  • New Multistage and Stochastic Mathematical Model for Maximizing RES Hosting Capacity—Part I: Problem Formulation

    Sergio F. Santos;Desta Z. Fitiwi;Miadreza Shafie-Khah;Abebe W. Bizuayehu

  • Assessing Increased Flexibility of Energy Storage and Demand Response to Accommodate a High Penetration of Renewable Energy Sources

    Ahmad Nikoobakht;Jamshid Aghaei;Miadreza Shafie-Khah;Joao P. S. Catalao

  • A Decentralized Electricity Market Scheme Enabling Demand Response Deployment

    Shahab Bahrami;M. Hadi Amini;Miadreza Shafie-khah;Joao P. S. Catalao

  • A Stochastic Multi-Layer Agent-Based Model to Study Electricity Market Participants Behavior

    Miadreza Shafie-khah;Joao P. S. Catalao

  • Strategic Behavior of Multi-Energy Players in Electricity Markets as Aggregators of Demand Side Resources Using a Bi-Level Approach

    Maziar Yazdani-Damavandi;Nilufar Neyestani;Miadreza Shafie-khah;Javier Contreras

Frequent Co-Authors

Joao P. S. Catalao
Joao P. S. Catalao University of Porto
Pierluigi Siano
Pierluigi Siano University of Salerno
Jamshid Aghaei
Jamshid Aghaei Central Queensland University
Mohsen Parsa Moghaddam
Mohsen Parsa Moghaddam Tarbiat Modares University
Taher Niknam
Taher Niknam Shiraz University of Technology
Mohamad Esmail Hamedani Golshan
Mohamad Esmail Hamedani Golshan Isfahan University of Technology
Javier Contreras
Javier Contreras University of Castilla-La Mancha
Juan M. Corchado
Juan M. Corchado University of Salamanca
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo Lappeenranta University of Technology
Wei Wei
Wei Wei Tsinghua University

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