Jinho Kim

IEEE Transactions on Smart Grid · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Jinho Kim trusts

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

  1. David L. Woodruff (in Management Science and Operations Research)
  2. Jean-Paul Watson (in Management Science and Operations Research)
  3. Masoud Rais-Rohani (in Numerical Analysis)
  4. Saber DorMohammadi (in Numerical Analysis)

Who trusts Jinho Kim

  1. Zhaoyu Wang (in Electrical and Electronic Engineering)
  2. Bokan Chen (in Electrical and Electronic Engineering)

Papers from Jinho Kim's perspective

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

  1. Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems (Computational Management Science)
  2. Microgrid-Based Co-Optimization of Generation and Transmission Planning in Power Systems (IEEE Transactions on Power Systems)
  3. Energy Management of Microgrid in Grid-Connected and Stand-Alone Modes (IEEE Transactions on Power Systems)
  4. A Microgrid Energy Management System Based on the Rolling Horizon Strategy (IEEE Transactions on Smart Grid)
  5. Multiobjective Intelligent Energy Management for a Microgrid (IEEE transactions on industrial electronics (1982. Print))
  6. Multiobjective Optimization for DG Planning With Load Models (IEEE Transactions on Power Systems)
  7. Two-Stage Minimax Regret Robust Unit Commitment (IEEE Transactions on Power Systems)
  8. Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market (IEEE Transactions on Power Systems)
  9. Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources (IEEE Transactions on Smart Grid)
  10. Exponential penalty function formulation for multilevel optimization using the analytical target cascading framework

Their papers