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Adaptive post-processing of short-term wind forecasts for energy applications

Sweeney, Conor; Lynch, Peter - 2010

We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energyfacilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every day in 2008 athorizontal resolutions of 10 and 3 km. A new adaptive...

Persistent link: https://www.econbiz.de/10009475712

Prediction of Gas Concentration based on the Opposite Degree Algorithm

Yue, Xiao-Guang; Gao, Rui; McAleer, Michael - 2016

In order to study the dynamic changes in gas concentration, to reduce gas hazards, and to protect and improve mining safety, a new method is proposed to predict gas concentration. The method is based on the opposite degree algorithm. Priori and posteriori values, opposite degree computation,...

Persistent link: https://www.econbiz.de/10011526104

Adaptive Doppler processing technique

Kabakchiev, Chr.; Vassileva, B.; Miteva, I. - In: Mathematics and Computers in Simulation (MATCOM) 43 (1997) 2, pp. 203-208

In this paper we have investigated the possibility of realizing an adaptive signal Doppler processing in stationary clutter regions by using modern spectral analysis technique. Burg's algorithm is chosen to update the whitening filter weights of the lattice. The coherent integration is realized...

Persistent link: https://www.econbiz.de/10010748783

Prediction of gas concentration based on the opposite degree algorithm

Yue, Xiao-Guang; Gao, Rui; McAleer, Michael - 2016

Persistent link: https://www.econbiz.de/10011456718

Generalized constrained multiple correspondence analysis

Hwang, Heungsun; Takane, Yoshio - In: Psychometrika 67 (2002) 2, pp. 211-224

Persistent link: https://www.econbiz.de/10005603448

A study of the family service expenditures and the socio-demographic characteristics via fixed marginals correspondence analysis

D'Ambra, Luigi; Amenta, Pietro; D'Ambra, Antonello; … - In: Socio-economic planning sciences : the international … 73 (2021), pp. 1-8

Persistent link: https://www.econbiz.de/10012496473

A novel semi-static method for the index tracking problem

Fu, Chun-Chong; Han, Chuan-Hsiang; Wang, Kun - 2024

Persistent link: https://www.econbiz.de/10015047448

Some Identification Issues in Nonparametric Linear Models with Endogenous Regressors

Severini, Thomas A.; Tripathi, Gautam - 2005

, such as a regression function, and treating it as a conditional expectation is central to its identification and estimation … identification related properties of this model when the unknown function mu* belongs to a linear space. We also investigate … underidentification of mu* along with the identification of its linear functionals. Several examples are provided in order to develop …

Persistent link: https://www.econbiz.de/10009430113

UNCERTAINTY, IDENTIFICATION, AND PRIVACY: EXPERIMENTS IN INDIVIDUAL DECISION-MAKING

Rivenbark, David - 2011

The alleged privacy paradox states that individuals report high values for personal privacy, while at the same time they report behavior that contradicts a high privacy value. This is a misconception. Reported privacy behaviors are explained by asymmetric subjective beliefs. Beliefs may or may...

Persistent link: https://www.econbiz.de/10009431062

Stage-based identification of policy effects

Alemán, Christian; Busch, Christopher; Ludwig, Alexander; … - 2023

We develop a method that identifies the effects of nationwide policy, i.e., policy implemented across all regions at the same time. The core idea is to track outcome paths in terms of stages rather than time, where a stage of a regional outcome at time t is its location on the support of a...

Persistent link: https://www.econbiz.de/10015190837