D-Index & Metrics Best Publications
Electronics and Electrical Engineering
Ireland
2022

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 58 Citations 14,671 174 World Ranking 648 National Ranking 2

Research.com Recognitions

Awards & Achievements

2022 - Research.com Electronics and Electrical Engineering in Ireland Leader Award

2018 - Member of the National Academy of Engineering For contributions to the integration of wind generation resources into the electric grid.

2008 - Member of the Royal Irish Academy

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Statistics
  • Wind power

Mark O'Malley spends much of his time researching Electric power system, Wind power, Control theory, Electricity generation and Electrical engineering. His Electric power system study integrates concerns from other disciplines, such as Stochastic process, Dynamic demand and Automatic frequency control. The Wind power study combines topics in areas such as Reliability engineering, Power station, Base load power plant, Interconnection and Stand-alone power system.

His work deals with themes such as Inertial response, Stability, Turbine, Induction generator and AC power, which intersect with Control theory. His study in Electricity generation is interdisciplinary in nature, drawing from both Wind power generation, Dynamic simulation, Power-system protection and Renewable energy. His studies in Electrical engineering integrate themes in fields like Task, Systems engineering and Backup.

His most cited work include:

  • A new approach to quantify reserve demand in systems with significant installed wind capacity (631 citations)
  • Unit Commitment for Systems With Significant Wind Penetration (578 citations)
  • Frequency control and wind turbine technologies (575 citations)

What are the main themes of his work throughout his whole career to date?

Mark O'Malley focuses on Electric power system, Wind power, Renewable energy, Environmental economics and Electricity. Mark O'Malley mostly deals with Power system simulation in his studies of Electric power system. His Power system simulation research includes elements of Scheduling and Mathematical optimization.

His Wind power study is concerned with Electrical engineering in general. His work carried out in the field of Environmental economics brings together such families of science as Grid and Flexibility. Mark O'Malley has included themes like Wind hybrid power systems and Distributed generation, Base load power plant in his Power station study.

He most often published in these fields:

  • Electric power system (42.42%)
  • Wind power (44.55%)
  • Renewable energy (15.76%)

What were the highlights of his more recent work (between 2014-2021)?

  • Electric power system (42.42%)
  • Wind power (44.55%)
  • Demand response (12.12%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Electric power system, Wind power, Demand response, Environmental economics and Renewable energy. The study incorporates disciplines such as Grid, Reliability engineering and Flexibility in addition to Electric power system. His Wind power research incorporates themes from Telecommunications, Wind speed, Electricity market, Automotive engineering and Operations research.

His research in Demand response intersects with topics in Load shifting, Microeconomics, Investment and Energy market. His Environmental economics research is multidisciplinary, relying on both Grid parity, Value proposition, Feed-in tariff and Cost of electricity by source. His Renewable energy research includes themes of Photovoltaics, Photovoltaic system, Supply and demand, Risk analysis and Solar power.

Between 2014 and 2021, his most popular works were:

  • Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications (293 citations)
  • Challenges and barriers to demand response deployment and evaluation (140 citations)
  • Transmission, Variable Generation, and Power System Flexibility (98 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Statistics
  • Artificial intelligence

Mark O'Malley mainly investigates Wind power, Demand response, Electric power system, Wind speed and Microeconomics. Borrowing concepts from Thermal energy storage, he weaves in ideas under Wind power. The various areas that Mark O'Malley examines in his Demand response study include Operations management, Load shifting, Risk analysis and Key.

Mark O'Malley interconnects Reliability engineering, Power control and Transmission network in the investigation of issues within Electric power system. Mark O'Malley has researched Wind speed in several fields, including North Atlantic oscillation and Time series. His biological study spans a wide range of topics, including Peak demand, Renewable generation and Economic dispatch.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A new approach to quantify reserve demand in systems with significant installed wind capacity

R. Doherty;M. O'Malley.
IEEE Transactions on Power Systems (2005)

965 Citations

Frequency control and wind turbine technologies

G. Lalor;A. Mullane;M. O'Malley.
IEEE Transactions on Power Systems (2005)

855 Citations

Unit Commitment for Systems With Significant Wind Penetration

A. Tuohy;P. Meibom;E. Denny;M. O'Malley.
IEEE Transactions on Power Systems (2009)

833 Citations

Optimal allocation of embedded generation on distribution networks

A. Keane;M. O'Malley.
IEEE Transactions on Power Systems (2005)

586 Citations

Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration

Hannele Holttinen;Peter Meibom;Antje Orths;Bernhard Lange.
Wind Energy (2011)

495 Citations

Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea

P. de Chazal;C. Heneghan;E. Sheridan;R. Reilly.
IEEE Transactions on Biomedical Engineering (2003)

486 Citations

Automatic detection of gait events using kinematic data

Ciara M. O’Connor;Susannah K. Thorpe;Susannah K. Thorpe;Mark J. O’Malley;Christopher L. Vaughan;Christopher L. Vaughan.
Gait & Posture (2007)

472 Citations

Evaluation of Power System Flexibility

E. Lannoye;D. Flynn;M. O'Malley.
IEEE Transactions on Power Systems (2012)

444 Citations

Capacity Value of Wind Power

A Keane;M Milligan;C J Dent;B Hasche.
IEEE Transactions on Power Systems (2011)

406 Citations

Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland

P. Meibom;R. Barth;B. Hasche;H. Brand.
IEEE Transactions on Power Systems (2011)

382 Citations

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