.... It is crucial that numerical solution starts with proper initial values. This study proposes a new approach to identifying initial values in order to decrease calculation time and increase the speed of numerical convergence. The proposed method was used in parameter estimation for different panel models...

... model of the roofing complex, a parametric sensitivity analysis highlighted the importance of convective coefficients in the thermal behavior of a roofing complex. A parameter estimation method is then used in order to find the values of the coefficients that lead to an improvement of the thermal model...

... June 2004 18 11 2004 wind turbines turbulence parameter estimation Coherence Inflow Turbulence The present study was motivated by failure to find meaningful correlation between turbine loads (extremes and fatigue) and simple inflow parameters that did not describe...

... for publication in the ASME JOURNAL OF SOLAR ENERGY ENGINEERING . Manuscript received by the ASME Solar Energy Division May 8, 2002; final revision, June 26, 2003. Associate Editor: D. Berg. 08 May 2002 26 June 2003 26 11 2003 wind turbines parameter estimation rotors angular...

... Division, February 27, 2003; final revision, July 15, 2003. Associate Editor: D. Berg. 27 February 2003 15 July 2003 26 11 2003 probability wind turbines Weibull distribution parameter estimation The robust estimation of long-term extreme loads from field records...

... for these systems, online estimation of system parameters, including system thermophysical parameters and thermal loads, is desirable. Several reported studies have presented simulation results and assumed that the thermal loads are known. A difficulty in HVAC system parameter estimation is that most HVAC systems...

... and results in zero cross-covariance between residual and past inputs. In that case it can be concluded that a consistent model estimate has been obtained; • Step 3: Model validation . Model validation is highly important when applying system identification. The parameter estimation procedure picks out...

... power curve estimation using both regression and neural network methods are presented and compared. The parameter estimates for the regression model and training of the neural network are completed with the wind farm data, and the performances of the two models are studied. The regression model is shown...