2 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging
Chengyang Gu, Yuxin Pan, Ruohong Liu +1
In the context of charging electric vehicles (EVs), the price-based demand response (PBDR) is becoming increasingly significant for charging load management. Such response usually…
Large Foundation Models for Power Systems
Chenghao Huang, Siyang Li, Ruohong Liu +2
Foundation models, such as Large Language Models (LLMs), can respond to a wide range of format-free queries without any task-specific data collection or model training, creating va…
Laxity-Aware Scalable Reinforcement Learning for HVAC Control
Ruohong Liu, Yuxin Pan, Yize Chen
Demand flexibility plays a vital role in maintaining grid balance, reducing peak demand, and saving customers' energy bills. Given their highly shiftable load and significant contr…
Learning a Multi-Agent Controller for Shared Energy Storage System
Ruohong Liu, Yize Chen
Deployment of shared energy storage systems (SESS) allows users to use the stored energy to meet their own energy demands while saving energy costs without installing private energ…