About the paper
| Title |
Correlation of variables with electricity consumption data |
| Book |
ICIST 2016 Proceedings |
| Pages |
118-123 |
| Abstract: In this paper the correlation between different
variables with the hourly consumption of electricity is
analyzed. Since the correlation analyses is a basis for
predicting, the results of this study may be used as an input
to any model for forecasting in the field of machine learning,
such as neural networks and support vector machines, as
well as to the various statistical models for prediction. In
order to calculate the correlation between the variables, in
this paper the two main methods for correlation are used:
Pearson’s correlation, which measures the linear correlation
between two variables and Spearman's rank correlation,
which analyzes the increasing and decreasing trends of the
variables that are not necessarily linear. As a case study the
electricity consumption in Macedonia is used. Actually, the
hourly data for electricity consumption, as well as the
hourly temperature data for the period from 2008 to 2014
are considered in this paper. The results show that the
electricity consumption in the current hour is mostly
correlated to the consumption in the same hour the previous
day, the same hour-same day combination of the previous
week and the consumption in the previous day.
Additionally, the results show a great correlation between
the temperature data and the electricity consumption. |
Full citation
Dedinec, A.,
Dedinec, A.
Correlation of variables with electricity consumption data. In:
Konjović, Z.,
Zdravković, M.,
Trajanović, M.
(Eds.)
ICIST 2016 Proceedings, pp.118-123, 2016
Keywords
Energy Management Systems