Steffen Rebennack

Electrical and Electronic Engineering · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Steffen Rebennack trusts overall

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

  1. Gérard Dreyfus
  2. Kevin M. Passino
  3. Peter Deuflhard
  4. Xiaohua Xia
  5. Anastasios G. Bakirtzis
  6. Stephen M. Frank
  7. Leandro Nunes de Castro
  8. Mohammed R. AlRashidi
  9. Stein W. Wallace
  10. M. I. Ray D. Zimmerman

Who trusts Steffen Rebennack overall

  1. Steven H. Low
  2. Mathaios Panteli
  3. Stephen M. Frank

Papers from Steffen Rebennack's perspective

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

  1. Market power assessment and mitigation in hydrothermal systems (PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195))
  2. Strategic bidding under uncertainty: a binary expansion approach (IEEE Transactions on Power Systems)
  3. Introduction to stochastic search and optimization - estimation, simulation, and control
  4. Electricity Producer Offering Strategies in Day-Ahead Energy Market With Step-Wise Offers (IEEE Transactions on Power Systems)
  5. Primal-Dual Interior-Point Methods
  6. Nash equilibrium in strategic bidding: a binary expansion approach (IEEE Transactions on Power Systems)
  7. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education (IEEE Transactions on Power Systems)
  8. Optimal offering strategies for generation companies operating in electricity spot markets (IEEE Transactions on Power Systems)
  9. Hybrid Particle Swarm Optimization Approach for Solving the Discrete OPF Problem Considering the Valve Loading Effects (IEEE Transactions on Power Systems)
  10. Distributed Optimization by Ant Colonies

Their papers