This study addresses the problem of modeling the electricity demand loads in Greece. The
provided actual load data is deseasonilized and an AutoRegressive Moving Average …

Effective modeling and forecasting requires the efficient use of the information contained in
the available data so that essential data properties can be extracted and projected into the …

Designers are required to plan for future expansion and also to estimate the grid's future
utilization. This means that an effective modeling and forecasting technique, which will use …

New quasi-Bayesian (hybrid) Crame/spl acute/r-Rao bound (CRB) expressions are herein
derived for far-field deep-sea direction-of-arrival (DOA) estimation with a nominally linear …

In this paper the multi-model partitioning theory is used for simultaneous order and
parameter estimation of multivariate autoregressive models. Simulation experiments show …

This study addresses the problem of modeling the variation of the grounding resistance
during the year. An AutoRegressive Moving Average (ARMA) model is fitted (off-line) on the …

This paper concerns the problem of array shape estimation and tracking for towed active
sonar arrays, using received reverberation returns from a single transmitted CW pulse …

One of the main reasons that flashover can occur in distribution lines is the sea salt
contamination of medium voltage insulators. Equivalent salt deposit density (ESDD) …

柔性拖曳阵在水下拖动时受拖船拖动及海流等的扰动, 因此拖曳阵的阵形估计问题是个存在未知
输入的系统状态估计问题. 文中采用了一个自适应的KALMAN 滤波算法来解决这一问题 …

In this paper, an efficient adaptive nonlinear algorithm for estimation and identification, the
so-called adaptive Lainiotis filter (ALF), is applied to the problem of fatigue crack growth …