Formulation of an automatic calibration strategy for the MIKE 11/NAM rainfall–runoff model
is outlined. The calibration scheme includes optimisation of multiple objectives that measure …

This paper describes a new approach to online forecasting of power production from PV
systems. The method is suited to online forecasting in many applications and in this paper it is …

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 of …

Short‐term (up to 2–3 days ahead) probabilistic forecasts of wind power provide forecast
users with highly valuable information on the uncertainty of expected wind generation. …

This paper makes a brief review on 30 years of history of the wind power short-term prediction,
since the first ideas and sketches on the theme to the actual state of the art on models and …

Short-term wind power prediction is a primary requirement for efficient large-scale integration
of wind generation in power systems and electricity markets. The choice of an appropriate …

With a focus on analyzing and modeling linear dynamic systems using statistical methods,
Time Series Analysis formulates various linear models, discusses their theoretical …

An efficient and flexible parameter estimation scheme for grey-box models in the sense of
discretely, partially observed Itô stochastic differential equations with measurement noise is …

Uncertainties about analytical models, fluctuations in loads, and variability of material
properties contribute to the small but real probability of structure failures. This advanced …

This internet publication is the second edition of Structural Reliability Methods and is a
corrected and slightly revised version of the first edition published by Wiley, Chichester 1996 (…