Eikeland, Odin FoldvikPaper I: Eikeland, O.F., Bianchi, F.M., Apostoleris, H., Hansen, M., Chiou, Y.C. & Chiesa, M. (2021). Predicting Energy Demand in Semi-Remote Arctic Locations. Energies, 14 (4), 798. Also available in Munin at https://hdl.handle.net/10037/21823 . Paper II: Eikeland, O.F., Holmstrand, I.S., Bakkejord, S., Chiesa, M. & Bianchi, F.M. (2021). Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning. IEEE Access, 9 , 150686-150699. Also available in Munin at https://hdl.handle.net/10037/23521 . Paper III: Eikeland, O.F., Hovem, F.D., Olsen, T.E., Chiesa, M. & Bianchi, F.M. (2022). Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case. Energy Conversion and Management: X, 15 , 100239. Also available in Munin at https://hdl.handle.net/10037/27600 . Paper IV: Eikeland, O.F., Kelsall, C.C., Buznitsky, K., Verma, S., Bianchi, F.M., Chiesa, M. & Henry, A. (2023). Power a....
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2023