Kyung-Bin Song
Electrical and Electronic Engineering · 2005–2014
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 10 citations into it
Whom Kyung-Bin Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kyung-Bin Song overall
- Rob J Hyndman
- Hui Zhang
- Shu Fan
- Shafiul Hasan Rafi
- Chujie Tian
- Kunjin Chen
- Pu Li
- .. Nahid-Al-Masood
- Jian Ma
Papers from Kyung-Bin Song's perspective
Ordered by how strongly the researchers Kyung-Bin Song trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments (IEEE Transactions on Smart Grid)
- Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid (IEEE PES Innovative Smart Grid Technologies Conference)
- Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services (IEEE Transactions on Smart Grid)
- Scheduling Power Consumption With Price Uncertainty (IEEE Transactions on Smart Grid)
- Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid
- Day-ahead electricity price forecasting using the wavelet transform and ARIMA models (IEEE Transactions on Power Systems)
- Introduction to linear optimization
- Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid (IEEE Transactions on Smart Grid)
- Game theory.
- Optimizing demand-side bids in day-ahead electricity markets (IEEE Transactions on Power Systems)
Their papers
- An Optimal Power Scheduling Method for Demand Response in Home Energy Management System (2013) — 649 citations
- Improvement of Composite Load Modeling Based on Parameter Sensitivity and Dependency Analyses (2014) — 74 citations
- Short-term load forecasting for the holidays using fuzzy linear regression method (2005) — 475 citations