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Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117756
Abstract: Abstract This paper proposes an adaptive synergistic control strategy for a hybrid AC/DC microgrid to overcome its vulnerability to notable grid impedance variation provoked by load changes. Microgrid employs an internal DC link incorporating hybrid…
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Keywords:
adaptive synergistic;
control;
strategy hybrid;
strategy ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3022944
Abstract: This paper proposes an adaptive energy management strategy for hybrid electric vehicles by combining deep reinforcement learning (DRL) and transfer learning (TL). This work aims to address the defect of DRL in tedious training time.…
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Keywords:
management strategy;
deep reinforcement;
energy;
energy management ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0274569
Abstract: Mechanistic/data-driven hybrid modeling is a key approach when the mechanistic details of the processes at hand are not sufficiently well understood, but also inferring a model purely from data is too complex. By the integration…
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Keywords:
training strategy;
hybrid models;
strategy hybrid;
strategy ... See more keywords