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Energy saving algorithm for smart home energy consumption budget optimization under the SVM model using a simple particle swarm optimization algorithm to find the optimal value caused by the slow speed gradient value based on PSO algorithm is proposed to optimize the use of machine learning algorithm GDPSO algorithm (Gradient Descent based on down Particle Swarm Optimization Algorithm). First of all, the establishment of energy structure and energy consumption model of optimal hyperplane selection of penalty factor and Gauss the appropriate parameters; secondly, parameter selection and optimization of energy consumption model for smart home energy-saving emission reduction requirements using GDPSO algorithm, and improves the efficiency of the optimal SVM parameters to improve the accuracy of solution. A simulation example shows the effectiveness of the algorithm.

This paper deals with the model of three-winding autotransformer for steady state analyses and for different types of step-voltage regulator. The paper is focused on comparison of two types of three winding transformer model and on verification of these models by means of measurement of distributing transformer. The analyzed transformer is installed and operated in the electric power station Stupava. Keywordsmathematical model of three-winding autotransformer, step-voltage regulators