Abstract
The high level of renewable electricity generation is resulting in transformation of conventional grid into Smart Grid. Due to variable electricity generation the load demand has become critical and challenging issue in electricity market. In this study, the end-use load modeling based on probability distribution has been carried out in School of Renewable Energy Technology (SERT) Naresuan University Phitsanalok Thailand. For the data of electricity usage in office at SERT the most suitable model i.e., Weibull distribution have been emulated. The shape and scale parameters have been estimated along with Kolmogorov-Smirnov goodness of fit test.
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