Integration of different energy infrastructures (heat, electricity and gas vectors) offers great
potential for better managing energy sources, reducing consumption and waste as well as …

This survey is focused on certain sequential decision-making problems that involve
optimizing over probability functions. We discuss the relevance of these problems for …

Control is and will continue to be a key discipline for realizing the objectives of smart grid
initiatives. Research in control science and engineering is not limited to one or a few …

Scheduling efficient energy management system operations to respond to the unstable
customer demand, electricity prices, and weather increases the complexity of the control …

Increasing energy efficiency of thermostatically controlled loads has the potential to
substantially reduce domestic energy demand. However, optimizing the efficiency of …

Inexpensive energy from the wind and the sun comes with unwanted volatility, such as
ramps with the setting sun or a gust of wind. Controllable generators manage supply …

Over the past decade, there has been significant progress on the science of load control for
the creation of virtual energy storage. This is an alternative to demand response, and it is …

Distribution system operators (DSOs) world-wide foresee a rapid roll-out of distributed
energy resources. From the system perspective, their reliable and cost effective integration …

Due to proliferation of energy efficiency measures and availability of the renewable energy
resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be …

We study the problem of planning restless multi-armed bandits (RMABs) with multiple
actions. This is a popular model for multi-agent systems with applications like multi-channel …