1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SY2021★ 1 cited
Online Learning of Interconnected Neural Networks for Optimal Control of an HVAC System
Youngjin Kim
Optimizing the operation of heating, ventilation, and air-conditioning (HVAC) systems is a challenging task, requiring the modeling of complex nonlinear relationships among HVAC lo…
eess.SY2020
Relieving the Need for Bi-Level Decision-Making for Optimal Retail Pricing via Online Meta-Prediction of Data-Driven Demand Response of HVAC Systems
Youngjin Kim
Price-based demand response (DR) of heating, ventilating, and air-conditioning (HVAC) systems is a challenging task, requiring comprehensive models to represent the building therma…
eess.SY2020
Optimal Voltage and Current Control of an HVDC System to Improve Real-Time Frequency Regulation
Do-Hoon Kwon, Youngjin Kim
High-voltage direct-current (HVDC) systems for constant or intermittent power delivery have recently been developed further to support grid frequency regulation (GFR). This paper p…