Aidan Tuohy

Electrical and Electronic Engineering · 2009–2019

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Aidan Tuohy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. P. Meibom
  2. Ramteen Sioshansi
  3. Paul Denholm
  4. Lei Wu
  5. Shimon Awerbuch
  6. François Bouffard
  7. D. Connolly
  8. Francisco D. Galiana
  9. Mohammad Shahidehpour
  10. J. Kiviluoma

Who trusts Aidan Tuohy overall

  1. Lion Hirth
  2. Anthony Papavasiliou
  3. Ali Taleb Al-Awami
  4. D. Connolly
  5. Ramteen Sioshansi
  6. Cláudio Monteiro
  7. Shmuel S. Oren
  8. Ning Zhang
  9. Mark J. O'Malley
  10. Mohamed A. El-Sharkawi

Papers from Aidan Tuohy's perspective

Ordered by how strongly the researchers Aidan Tuohy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Stochastic security for operations planning with significant wind power generation (IEEE Power & Energy Society General Meeting)
  2. Unit Commitment for Systems With Significant Wind Penetration (IEEE Transactions on Power Systems)
  3. Stochastic Security-Constrained Unit Commitment (IEEE Transactions on Power Systems)
  4. Evaluating the Impacts of Real-Time Pricing on the Usage of Wind Generation (IEEE Transactions on Power Systems)
  5. The value of compressed air energy storage with wind in transmission-constrained electric power systems
  6. Scheduling and Pricing of Coupled Energy and Primary, Secondary, and Tertiary Reserves (Proceedings of the IEEE)
  7. Scenario reduction in stochastic programming: An approach using probability metrics
  8. Pricing energy and ancillary services in integrated market systems by an optimal power flow (IEEE Transactions on Power Systems)
  9. Value of electric heat boilers and heat pumps for wind power integration
  10. A review of computer tools for analysing the integration of renewable energy into various energy systems

Their papers