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Driven by the opportunity to harvest the flexibility related to building climate control for demand response applications, this work presents a data-driven control approach building upon recent advancements in reinforcement learning. More specifically, model-assisted batch reinforcement learning is applied to the setting of building climate control subjected to dynamic pricing. The underlying sequential...
A major challenge consists of considering all stakeholders of the future Smart Grid, each with their specific and possibly opposing objectives. A distribution network operator aims at guaranteeing power quality criteria while consumers aspire lowering their power consumption bill. This fundamental issue currently delays the transition from small-scale research projects to a large-scale all-encompassing...
In this paper, we present a distributed voltage control mechanism that is being used in the large-scale field-test of the Linear project. The control system developed does not require a communication network between the different households. Only the locally measured household supply voltage is taken into account. The proposed control system is compatible with DSM infrastructure currently being developed,...
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