S3TS is a stochastic scenario-structured tree search algorithm for planning under uncertainty with non-linear models, evaluated on a demand response problem with near-optimal results in linear cases and superior performance in non-linear ones.
Model predictive control-guided reinforce- ment learning for implicit balancing
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Simulations using 2023 Belgian data show implicit balancing via batteries cuts TSO costs at moderate participation but risks overshooting when capacity grows large, with BRPs still profiting.
citing papers explorer
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Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium
Simulations using 2023 Belgian data show implicit balancing via batteries cuts TSO costs at moderate participation but risks overshooting when capacity grows large, with BRPs still profiting.