Here is a selection of my recent publications categorized by research focus. For a complete list of my academic works, citations, and metrics, please visit my profiles below:

🎓 Google Scholar 🆔 ORCID 🔬 ResearchGate 🌳 KU Forest

⚡ Cyber-Physical Energy Systems

  • Sangpanich, U., Songprakorp, R., Monyakul, V., Siratarnsophon, P., & Somboonviwat, K. (2025). “Empirical study of Decentralized group-based Battery Energy Management (DBEM) for PV-battery nanogrid systems in islanded mode.” Japanese Journal of Applied Physics, 64(4), 04SP10. [doi]
  • Sangpanich, U., Songprakorp, R., Monyakul, V., Siratarnsophon, P., & Somboonviwat, K. (2024). “A Prototype System of Decentralized Group-Based Battery Energy Management (DBEM): Empirical Study of PV-Battery Islanded Nanogrid Systems.” PVSEC-35, Numazu, Japan.
  • Siratarnsophon, P., Somboonviwat, K., Thongprasri, P. & Sangpanich, U. (2024). “Optimal Sizing and Placement of Diesel Generators, PVs, and BESS for Islanded Microgrid Electrification: Economic and Operational Considerations.” PVSEC-35, Numazu, Japan.
  • Siratarnsophon, P., Sangpanich, U., Srichiangsa, T., Thongprasri, P., & Somboonviwat, K. (2024). “A Simple TimeGPT-Enhanced Load Forecast Method for Optimal Power Flow in Islanded Microgrid Control.” 10th IEEE International Smart Cities Conference, Pattaya, Thailand. [doi]

🏗️ Scalable Infrastructure & Edge AI

  • Somboonviwat, K., Arpanutud K., & Sangpanich, U. (2026). “Energy and Power Quality Characterization of Edge AI Forecasting on Raspberry Pi.” The International Conference on Data Analytics for Sustainability and Engineering Technology (DASET).
  • Sangpanich, U., Siratarnsophon, P., & Somboonviwat, K. (2026). “Scalable Scenario Reduction for Power Flow Analysis Using Variational Recurrent Autoencoder-Based Multivariate Time-Series Clustering.” The International Conference on Data Analytics for Sustainability and Engineering Technology (DASET).
  • Somboonviwat, K., Siratarnsophon, P., Songprakorp, R., & Sangpanich, U. (2024). “Multivariate Time Series Clustering for Determining Representative Load and PV Generation Profiles for Robust Energy System Analysis and Design.” PVSEC-35, Numazu, Japan.

🧬 Data & AI for Science

  • Promkatkaew, M., Srisuratsiri, P., Sangpanich, U., Somboonviwat, K., & Kitjaruwankul, S. (2025). “Graphene Oxide–Chitosan Composite for Efficient Adsorptive Removal of Cu (II), Co (II), and Ni (II) from Simulated E-Waste Effluents.” ACS Omega, 10(38), 44111-44124. [doi]
  • Luangtrakul, W., Wongdontri, C., Jaree, P., Boonchuen, P., Somboonviwat, K., Sarnow, P., & Somboonwiwat, K. (2025). “Unveiling the impact of shrimp piRNAs on WSSV infection and immune modulation.” Fish & Shellfish Immunology, 158, 110124. [doi]
  • Wongdontri, C., Luangtrakul, W., Boonchuen, P., Sarnow, P., Somboonviwat, K., Jaree, P., & Somboonwiwat, K. (2024). “Participation of shrimp pva-miR-166 in hemocyte homeostasis by modulating apoptosis-related gene PvProsaposin during white spot syndrome virus infection.” Journal of Virology, 98(8), e00530-24. [doi]
  • Boonchuen, P., Jaree, P., Somboonviwat, K., & Somboonwiwat, K. (2021). “Regulation of shrimp prophenoloxidase activating system by lva-miR-4850 during bacterial infection.” Scientific Reports, 11(1), 3821. [doi]


Explore my Research Projects, recent Publications, and Teachings.

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DAISE Lab is affiliated with the G-SET Research Unit.