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Automatic calibration of a conceptual rainfall-runoff model using multiple objectives.
TLDR
Formulation of an automatic calibration strategy for the MIKE 11/NAM rainfall–runoff model with multiple objectives that measure different aspects of the hydrograph. Expand
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Identifying suitable models for the heat dynamics of buildings
Abstract The present paper suggests a procedure for identification of suitable models for the heat dynamics of a building. Such a procedure for model identification is essential for better usage ofExpand
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Online short-term solar power forecasting
TLDR
This paper describes a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. Expand
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From probabilistic forecasts to statistical scenarios of short-term wind power production
Short-term (up to 2-3 days ahead) probabilistic forecasts of wind power provide forecast users with a highly valuable information on the uncertainty of expected wind generation. Whatever the type ofExpand
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Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives
TLDR
A consistent framework for parameter estimation in distributed hydrological catchment modelling using automatic calibration is formulated. Expand
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Parameter estimation in stochastic grey-box models
TLDR
An efficient and flexible parameter estimation scheme for grey-box models in the sense of discrete, partially observed Ito stochastic differential equations with measurement noise is presented along with a corresponding software implementation. Expand
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Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling
TLDR
Generalized likelihood uncertainty estimation (GLUE) framework was one of the first attempts to represent prediction uncertainty within the context of Monte Carlo (MC) analysis coupled with Bayesian estimation. Expand
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Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events: 1. At-site modeling
Two different models for analyzing extreme hydrologic events, based on, respectively, partial duration series (PDS) and annual maximum series (AMS), are compared. The PDS model assumes a generalizedExpand
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An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation
Operational flood management and warning requires the delivery of timely and accurate forecasts. The use of distributed and physically based forecasting models can provide improved streamflowExpand
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Review of trend analysis and climate change projections of extreme precipitation and floods in Europe
This paper presents a review of trend analysis of extreme precipitation and hydrological floods in Europe based on observations and future climate projections. The review summaries methods andExpand
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