Towards future infrastructures for sustainable multi-energy systems: A review
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 …
potential for better managing energy sources, reducing consumption and waste as well as …
Probabilistic design of optimal sequential decision-making algorithms in learning and control
This survey is focused on certain sequential decision-making problems that involve
optimizing over probability functions. We discuss the relevance of these problems for …
optimizing over probability functions. We discuss the relevance of these problems for …
Controls for smart grids: Architectures and applications
T Samad, AM Annaswamy - Proceedings of the IEEE, 2017 - ieeexplore.ieee.org
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 …
initiatives. Research in control science and engineering is not limited to one or a few …
Battery energy storage control using a reinforcement learning approach with cyclic time-dependent Markov process
Scheduling efficient energy management system operations to respond to the unstable
customer demand, electricity prices, and weather increases the complexity of the control …
customer demand, electricity prices, and weather increases the complexity of the control …
Multi-agent reinforcement learning for modeling and control of thermostatically controlled loads
Increasing energy efficiency of thermostatically controlled loads has the potential to
substantially reduce domestic energy demand. However, optimizing the efficiency of …
substantially reduce domestic energy demand. However, optimizing the efficiency of …
Distributed control design for balancing the grid using flexible loads
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 …
ramps with the setting sun or a gust of wind. Controllable generators manage supply …
Load-level control design for demand dispatch with heterogeneous flexible loads
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 …
the creation of virtual energy storage. This is an alternative to demand response, and it is …
Optimal load ensemble control in chance-constrained optimal power flow
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 …
energy resources. From the system perspective, their reliable and cost effective integration …
A hierarchical approach to multienergy demand response: From electricity to multienergy applications
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 …
resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be …
Indexability is not enough for whittle: Improved, near-optimal algorithms for restless bandits
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 …
actions. This is a popular model for multi-agent systems with applications like multi-channel …