Deep Actor-Critic Reinforcement Learning (DA-CRL) based multi-objective optimal control of solar PV integrated UPQC for power quality enhancement in smart distribution networks.
- DOI
- 10.1038/s41598-026-58017-9
- Published
- 2026 Jun 21
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-58017-9,
title = {Deep Actor-Critic Reinforcement Learning (DA-CRL) based multi-objective optimal control of solar PV integrated UPQC for power quality enhancement in smart distribution networks.},
author = {Bindu EH and Prasanna PBG and Krishna D and Goud BS and Balachandran PK},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-58017-9},
url = {https://doi.org/10.1038/s41598-026-58017-9}
}RIS
TY - JOUR TI - Deep Actor-Critic Reinforcement Learning (DA-CRL) based multi-objective optimal control of solar PV integrated UPQC for power quality enhancement in smart distribution networks. AU - Bindu EH AU - Prasanna PBG AU - Krishna D AU - Goud BS AU - Balachandran PK PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-58017-9 UR - https://doi.org/10.1038/s41598-026-58017-9 ER -
APA
EH, B., PBG, P., D, K., BS, G., & PK, B. (2026). Deep Actor-Critic Reinforcement Learning (DA-CRL) based multi-objective optimal control of solar PV integrated UPQC for power quality enhancement in smart distribution networks.. Scientific reports. https://doi.org/10.1038/s41598-026-58017-9
Source records
- pubmed · retrieved 2026-09-26T03:01:23.283Z
- europe-pmc · retrieved 2026-09-26T03:01:23.275Z
- doaj · retrieved 2026-09-26T03:01:23.262Z