Efficient state of charge estimation of lithium-ion batteries in electric vehicles using evolutionary intelligence-assisted GLA–CNN–Bi-LSTM deep learning model
2024 · Heliyon · 33 citations
https://doi.org/10.1016/j.heliyon.2024.e35183
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Kimmo Kauhaniemi
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Kimmo Kauhaniemi is an academic researcher from University of Vaasa. The author has contributed to research in topics: Islanding Detection in Power Systems & Microgrid Control and Optimization & Power Systems Fault Detection. The author has an h-index of 25, co-authored 133 publications.
ORCID: 0000-0002-7429-3171Papers by this author
worksImproved finite control set model predictive control for distributed energy resource in islanded microgrid with fault-tolerance capability
2021 · Engineering Science and Technology an International Journal · 24 citations
https://doi.org/10.1016/j.jestch.2020.12.015
Hardware-in-the-loop testing of a battery energy storage controller for harbour area smart grid: A case study for Vaasa harbour grid
2023 · Energy Reports · 11 citations
https://doi.org/10.1016/j.egyr.2023.01.068
Classification of PD Faults Using Features Extraction and K-Means Clustering Techniques
2020 · 9 citations
https://doi.org/10.1109/isgt-europe47291.2020.9248984
Design and FPGA-in-loop based validation of predictive hierarchical control for islanded AC microgrid
2023 · Engineering Science and Technology an International Journal · 5 citations
https://doi.org/10.1016/j.jestch.2023.101557
Optimizing smart inverter control for improved distribution network hosting capacity: A model predictive control approach
2025 · International Journal of Electrical Power & Energy Systems · 5 citations
https://doi.org/10.1016/j.ijepes.2025.110472
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