A5082074613- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Energy Efficiency and Management
- Advanced Bandit Algorithms Research
Harvard University Press
2020
This paper studies the automated control method for regulating air conditioner (AC) loads in incentive-based residential demand response (DR). The critical challenge is that customer responses to load adjustment are uncertain and unknown practice. In this paper, we formulate AC problem a DR event as multi-period stochastic optimization integrates indoor thermal dynamics opt-out status transition. Specifically, machine learning techniques including Gaussian process logistic regression...
This paper studies the automated control method for regulating air conditioner (AC) loads in incentive-based residential demand response (DR). The critical challenge is that customer responses to load adjustment are uncertain and unknown practice. In this paper, we formulate AC problem a DR event as multi-period stochastic optimization integrates indoor thermal dynamics opt-out status transition. Specifically, machine learning techniques including Gaussian process logistic regression...