Controlling district heating and cooling networks to unlock flexibility: A review
Flexibility in district heating and cooling systems (thermal networks in general) is an
important means to cope with the intermittent generation of heat and electricity as the share …
important means to cope with the intermittent generation of heat and electricity as the share …
Convolutional neural networks for automatic state-time feature extraction in reinforcement learning applied to residential load control
Direct load control of a heterogeneous cluster of residential demand flexibility sources is a
high-dimensional control problem with partial observability. This paper proposes a novel …
high-dimensional control problem with partial observability. This paper proposes a novel …
An integrated intelligent modeling and simulation language for model-based systems engineering
Modeling and simulation are now leading the way in supporting analysis and development
of system of systems. At present, to support the unified modeling formalism and dynamic …
of system of systems. At present, to support the unified modeling formalism and dynamic …
Using reinforcement learning for optimizing heat pump control in a building model in Modelica
With the increasing share of renewable energy sources in the electricity grid comes the need
to exploit the available flexibility at the demand side. Demand response programs seek to …
to exploit the available flexibility at the demand side. Demand response programs seek to …
X language: an integrated intelligent modeling and simulation language for complex products
Modeling and simulation have become an important means of supporting analyses and
development of complex products. At present, for the development of full-process and full …
development of complex products. At present, for the development of full-process and full …
[CITATION][C] Model Predictive Control for Efficient Operation of District Cooling Generation
A Mohammadi, MM Keane, R Sterling - 2023