Combining Weather Station Data and Short-Term LiDAR Deployment to Estimate Wind Energy Potential with Machine Learning: A Case Study from the Swiss Alps F Kristianti, J Dujardin, F Gerber, H Huwald, SW Hoch, M Lehning Boundary-Layer Meteorology 188 (1), 185-208, 2023 | 3 | 2023 |
Effect of soil moisture on shallow cumulus cloud in large eddy simulation F Kristianti, D Nguyen-Le, TJ Yamada 土木学会論文集 G (環境) 74 (5), I_33-I_40, 2018 | 2 | 2018 |
Influence of air flow features on alpine wind energy potential F Kristianti, F Gerber, S Gonzàlez-Herrero, J Dujardin, H Huwald, ... Frontiers in Energy Research 12, 1379863, 2024 | | 2024 |
Efficient Mountainous Wind Energy Assessment through the Combination of Models and Measurements F Kristianti EPFL, 2024 | | 2024 |
Maximum Wind Energy Production (MaxWEP): Maximizing Winter Production of Energy by Exploiting Terrain Potential F Kristianti, F Gerber, H Huwald, J Dujardin, S Hoch, M Lehning Swiss Federal Office of Energy SFOE, 2023 | | 2023 |
The Complexity of Alpine Weather: An Asset for the Energy Transition J Dujardin, A Kahl, F Kristianti AMS mountain meteorology, 2022 | | 2022 |
Planning The Monitoring System For Dredging Productivity at Coal Mining Ponds of PT. Kaltim Prima Coal, Sangatta, East Kalimantan F KRISTIANTI Universitas Gadjah Mada, 2016 | | 2016 |
INFLUENCE OF SOIL MOISTURE ANOMALY ON ATMOSPHERIC BOUNDARY LAYER DEVELOPMENT BY LARGE EDDY SIMULATION F KRISTIANTI | | |