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Wind speed forecasting is critical to and challenging for wind energy industry. We present a combined AR-kNN regression model for short-term wind speed forecasting. Historical samples are selected to train the coefficients of a k-nearest-neighbor (kNN) regression model in order to capture the current variation pattern of wind speed. The training samples of the kNN model are combined with the recent...
Environmental control and life support system(ECLSS) of the manned spacecraft is an important system to guarantee the safety and life support of the astronauts and the environment inside the space station. For the physicochemical regeneration type of ECLSS(PRLSS), because of its complicated physicochemical process, to analyze and evaluate the mass balance and operation performance through simulation...
In this paper, we propose to capture Action Unit (AU) relations existing in both qualitative knowledge and quantitative data through Credal Networks (CN). Each node of the CN represents an AU label, and the links and probability intervals capture the probabilistic dependencies among multiple AUs. The structure of CN is designed based on prior knowledge. The parameters of CN are learned from both knowledge...
Abstract-This paper describes a universal thermal dynamic non-linear model for water tube drum boilers. The model that suit for model-based control is derived from first principles. It can be characterized by a few physical parameters that are easily obtained from construction data and steam tables. And the model is developed which enables the prediction of riser temperature of water tube boilers...
To improve the quality of seismic data in controlled source seismic prospecting, we developed Directional Illumination Technique (DIT). It states the principle of DIT, describes the method of directional illumination processing, studies the characteristic of seismic wave field corresponding to DIT. Here we designed horizontal and dip layer media models, simulated seismic data from electromagnetic...
It is well known that the classical regression analysis, especially parametric regression analysis, is one of the important methods of extracting information from data sets. A family of regression functions, called fuzzy c-regression models (FCRM), has been presented which can be used to characterize the linear relationship to certain types of mixed data. More generally, an effective and robust method,...
A new stochastic stock price model of stock markets based on the contact process of the interacting particle systems is presented in this paper, where the contact model is a continuous time Markov process, one interpretation of this model is as a model for the spread of an infection. Through this model, the statistical properties of Shanghai stock exchange (SSE) composite index are studied. In the...
Linear auto-regression moving average with extra input (ARMAX) model for air temperature system in a naturally ventilated greenhouse was developed. Outside air temperature, relative humidity, global solar radiation and wind speed were used as disturbing input variables of the model, while inside temperature was used as output variable of the model. Based on energy and mass flows equations, statistic...
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