Driven by recent advances in batch Reinforcement Learning (RL), this paper contributes to
the application of batch RL to demand response. In contrast to conventional model-based …

Demand response is playing an increasingly important role in the efficient and reliable
operation of the electric grid. Modeling the dynamic behavior of a large population of …

This paper explores methods to coordinate aggregations of thermostatically controlled loads
(TCLs; including air conditioners and refrigerators) to manage frequency and energy …

Automated demand response can be a valuable resource for ancillary services in the power
grid. This paper illustrates this value with the first experimental demonstration of frequency …

This paper examines the problem of demand-side energy management in smart power grids
through the setpoint control of aggregate thermostatic loads. This paper models these loads …

This paper presents a method for tracking a secondary frequency control (Load Frequency
Control) signal by groups of plug-in hybrid electric vehicles (PHEVs), controllable thermal …

The integration of variable and intermittent renewable energy generation into the power
system is a grand challenge to our efforts to achieve a sustainable future. Flexible demand is …

Although the North American power grid has been recognized as the most important
engineering achievement of the 20th century, the modern power grid faces major challenges …

Large groups of electrical loads can be controlled as a single entity to reduce their
aggregate power demand in the electricity network. This approach, known as load …

The expanding penetration of nondispatchable renewable resources within power system
generation portfolios is motivating the development of demand-side strategies for balancing …