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Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts
Bogner, K., Pappenberger, F., & Zappa, M. (2019). Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts. Sustainability, 11(12), 3328 (22 pp.). https://doi.org/10.3390/su11123328
Post-Processing of stream flows in Switzerland with an emphasis on low flows and floods
Bogner, K., Liechti, K., & Zappa, M. (2016). Post-Processing of stream flows in Switzerland with an emphasis on low flows and floods. Water, 8(4), 115 (20 pp.). https://doi.org/10.3390/w8040115
Regional parameter allocation and predictive uncertainty estimation of a rainfall-runoff model in the poorly gauged Three Gorges Area (PR China)
Bosshard, T., & Zappa, M. (2008). Regional parameter allocation and predictive uncertainty estimation of a rainfall-runoff model in the poorly gauged Three Gorges Area (PR China). Physics and Chemistry of the Earth, 33(17-18), 1095-1104. https://doi.org/10.1016/j.pce.2008.03.004