  With developing of computation tools in the last years, data analysis methods
to find insightful information are becoming more common among industries and
researchers. This paper is the first part of the times series analysis of New
England electricity price and demand to find anomaly in the data. In this paper
time-series stationary criteria to prepare data for further times-series
related analysis is investigated. Three main analysis are conducted in this
paper, including moving average, moving standard deviation and augmented
Dickey-Fuller test. The data used in this paper is New England big data from 9
different operational zones. For each zone, 4 different variables including
day-ahead (DA) electricity demand, price and real-time (RT) electricity demand
price are considered.
