  Big data analytic applications using phasor measurements help improve the
situation awareness of grid operators to better operate and control the system.
Phasor measurement unit (PMU) data from actual grids is viewed as highly
confidential and is not publicly available to researchers and educators. This
paper develops a methodology to synthesize PMU data that can be accessed and
shared freely, with a focus on input data preparation. Time series of demand-
and generation-side input data are generated using public data from different
utilities and statistical analysis methods. Detailed load dynamics modeling is
also performed in this paper to extend the synthetic electric network models.
