Author Archive: hslee
[Excellent student scholarship] Jonathan and Morhaf
[Invited seminar] KMA NIMS, Jeju, Korea
Lee HS: Wave climate projection in the western North Pacific and the extreme, KMA National Institute of Meteorological Science (NIMS), 9 December 2022, Seoguipo, Jeju, Korea. (Invited) Date: 9 December 2022 Title: Wave climate projection in the western North Pacific and the…
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[Conference] ICCE2022 in Sydney, Australia
Two poster presentations will be made from the research works by Morhaf (Jonathan made the on-site presentation) and Constanza.
[BMKG workshop] NWP workshop in BMKG using a new SATREPS-funded HPC system
Pradana, Dr Vinayak, and Dr Lee conducted a workshop at BMKG, Indonesia, on numerical weather prediction using the new HPC system funded by DeLCA SATREPS project. Date: 22 Nov. ~ 30 Nov. 2022 Venue: Badan Meteorologi Klimatologi dan Geofisika (BMKG),…
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[Invited webinar] 1er Seminario Internacional Doctorado en Ingeniería “Fortaleciendo lazos entre la industria y la academia”
Date: 24th November 2022 Speaker: Han Soo LEE Theme: “Improvement of noise filtering with improved complete EEMD with adaptive noise (ICEEMDAN) and its applications in partial discharge (PD) measurement and electricity demand prediction“
[Conference] JSCE Coastal Engineering Conf.
Two presentations were made by Jonathan Salar Cabrera and Jae-Soon Jeong. Jeong J.-S., Lee H.S. and Mori N. Abnormal High Tides and Flood in Hiroshima Bay due to a Remote Typhoon-Induced Internal Surge, Japan Society of Civil Engineers (JSCE) CEC conference,…
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[Trainer of weather and climate prediction] UNDP in Mongolia
For almost two months from Sep. to Oct. 2022, training in weather and climate prediction in IRIMHE, NAMEM, has been conducted under the support of the Green Climate Project by UNDP in Mongolia. It was a great experience with nice…
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New publication
Nhiavue Y, Lee HS*, Chisale SW, and Cabrera JS. 2022. Prioritization of Renewable Energy for Sustainable Electricity Generation and an Assessment of Floating Photovoltaic Potential in Lao PDR. Energies, 15(21), 8243. Open access Abstract Lao PDR faces seasonal power supply problems due to its heavy…
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New publication
Chreng K, Lee HS, Tuy S. A Hybrid Model for Electricity Demand Forecast Using Improved Ensemble Empirical Mode Decomposition and Recurrent Neural Networks with ERA5 Climate Variables. Energies. 2022; 15(19):7434. https://doi.org/10.3390/en15197434 Abstract By conserving natural resources and reducing the consumption of fossil fuels,…
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