The proposed methodology, power-law committee with intelligent systems, comprises a parallel framework that produces a final output by combining the results of individual intelligent systems.
The study of the seismic behavior has been carried out using two different linear dynamic methodologies: power spectral density (PSD) and spectral analyses.
In the methodology, the power plants and the power exchange are dispatched in a time scale of 5 min. The hour-ahead plan efficiently addresses the intermittent wind power and reduces the regulation burden that would be required in a dispatch plan of one hour.
By using the proposed methodology, a power system simulation tool was specially developed to study electromechanical phenomena observed at Tucuruí hydroelectric power plant, a large power plant of the Brazilian Interconnected Power System.
The same methodology for power analysis as step 3 was used in order to assess the power and sample size needed in order to validate the chromosome 22 preliminary signal.
This work presents a flexible thermal modeling methodology for power semiconductor modules.
When combined with test vectors/scan cells reordering methodology significant power savings can be reached.
In this paper, a novel multi-agent system based methodology for power system protection coordination is proposed.
To overcome the problem this paper presents artificial intelligence based methodology for power transformers fault detection and classification.
In this article, we propose a simplified simulation methodology for power controlled HSUPA with Hybrid-ARQ Chase combining considering the effect of channel estimation on the system performance.
