What is it about?
The paper is illustrated on maximum and minimum temperatures in Perth, Western Australia, of the first week in January over 67 years, showing different recording stations have different effects and there exist a significant upward trend in temperatures. These results are intimately tied up with electricity demand.
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Why is it important?
This paper has obvious ramifications for models about power generation and forecasting electricity consumption where infrastructure for power generation needs to be cast as much as 15 years ahead. The paper also leads to efficient fitting of multivariate time series to interleaved processes that are replicated.
Perspectives
This article was a long time in gestation. It is a natural extension of the univariate approach of Bowden and Clarke (2012), but Ross Bowden crossed all the t's and dotted the i's for the specific multivariate application relevant to electricity demand. This paper formed part of Ross's PhD thesis at Murdoch University.
Dr Brenton R. Clarke
Murdoch University
Read the Original
This page is a summary of: Using multivariate time series methods to estimate location and climate change effects on temperature readings employed in electricity demand simulation, Australian & New Zealand Journal of Statistics, December 2017, Wiley,
DOI: 10.1111/anzs.12222.
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