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The parameters estimation of mixture distributions is an important task in statistical signal processing, Pattern recognition, blind equalization and other modern statistical tasks often call for mixture estimation. This paper aims to provide a realistic distribution based on Mixture of Generalized Gaussian distribution (MGG), which has the advantage to characterize the variability of shape parameter...
In this paper, an original technique to explore the long term load dynamics using a multi-scale analysis of the daily peak load based on the empirical mode decomposition (EMD) is presented. The signal is decomposed into intrinsic oscillatory components called intrinsic mode functions (IMFs). These modes are derived from the signal itself and not on a specific basis function. In this work, the EMD...
This paper proposes a probabilistic representation of load duration curve based on the use Mixture of Generalized Gaussian distribution (MGG) which uses eight physicals parameters connected to the load distribution. Based on these MGG parameters the trend evolution of the annual, winter and summer LDC were examined. Load data from the Tunisian Company of Electricity and Gas (STEG) have been used in...
This paper proposes a new estimation technique of the load duration curve (LDC) which takes into account recent modifications of the load demand in the Tunisian Power System (STEG) related to the increasing of the air conditioning load. This approach is based on the estimation of the hourly peak load distribution by asymmetric generalized Gaussian distribution (AGG) which allows to describe deviation...
This paper proposes a new estimation technique of the load duration curve (LDC) which is capable to estimate the LDC of any shape and form. In the paper we develop a probabilistic approach, to deal with the heterogeneity and variability of the load distribution based on the estimation of the hourly peak load distribution by mixture of generalized Gaussian distribution (MGG). The model has more flexibility...
This paper proposes a new estimation technique of the load duration curve (LDC) which takes into account recent modifications of the load demand in the Tunisian power system (STEG) related to the increasing of the air conditioning load. This approach is based on the estimation of the hourly peak load distribution by asymmetric generalized Gaussian distribution (AGG). Numerical results indicate that...
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