Seung Ho Hong

Electrical and Electronic Engineering · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Seung Ho Hong trusts overall

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

  1. Renzhi Lu
  2. J. Gao
  3. Christopher J. C. H. Watkins
  4. A. Dagoumas
  5. Mengmeng Yu
  6. Ming Jin
  7. Sabita Maharjan
  8. Peter S. Dayan
  9. Richard S. Sutton
  10. Rafal Weron

Who trusts Seung Ho Hong overall

  1. Renzhi Lu
  2. Mengmeng Yu
  3. Xu Xu
  4. I. Antonopoulos
  5. A. Perera
  6. Liang Yu
  7. Ozan Erdinc
  8. Youwei Jia
  9. Valentin Robu
  10. Parameswaran Kamalaruban

Papers from Seung Ho Hong's perspective

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

  1. Human-level control through deep reinforcement learning
  2. Reinforcement Learning: An Introduction
  3. Electricity price forecasting: A review of the state-of-the-art with a look into the future
  4. A Comprehensive Survey of Multiagent Reinforcement Learning
  5. The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges
  6. Recent advances in electricity price forecasting: A review of probabilistic forecasting
  7. Real-Time Demand Response Model (IEEE Transactions on Smart Grid)
  8. The Long-Run Efficiency of Real-Time Electricity Pricing
  9. Day-ahead electricity price forecasting via the application of artificial neural network based models
  10. A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (IEEE Communications Surveys and Tutorials)

Their papers