sa.econ

Annual data for South Australia including population, GSP, residential electricity price, total electricity price and cooling/heating degree days

datasets

This package includes a set of tools for implementing the Monash Electricity Forecasting Model for electricity demand.
The package requires the following data as input: half-hourly/hourly electricity demands; half-hourly/hourly temperatures at one or two locations;
seasonal demographical and economical data; public holiday data. The formats of the required data are described in the help files.

Rob Hyndman

MEFM

Monash Electricity Forecasting Model

sa.econ function

A multivariate time series with the following columns:<dl class="dl-horizontal">
<dt>pop</dt><dd>State population (thousands of people)</dd>
<dt>gsp</dt><dd>Gross State Product chain volume estimate (in 2008-2009 millions of dollars)</dd>
<dt>resiprice</dt><dd>Residential price index (2008-2009 cents per kWh)</dd>
<dt>totalprice</dt><dd>Total price (2008-2009 cents per kWh)</dd>
<dt>anndemand</dt><dd>Annual electricity demand (GW).</dd>
<dt>ddays</dt><dd>Cooling degree days with a threshold of 18.5 degrees Celsius.</dd>
</dl>

Format

Historical demographic &amp; economic data for South Australia — sa.econ

A multivariate time series with the following columns:<dl class='dl-horizontal'>
<dt>pop</dt><dd>State population (thousands of people)</dd>
<dt>gsp</dt><dd>Gross State Product chain volume estimate (in 2008-2009 millions of dollars)</dd>
<dt>resiprice</dt><dd>Residential price index (2008-2009 cents per kWh)</dd>
<dt>totalprice</dt><dd>Total price (2008-2009 cents per kWh)</dd>
<dt>anndemand</dt><dd>Annual electricity demand (GW).</dd>
<dt>ddays</dt><dd>Cooling degree days with a threshold of 18.5 degrees Celsius.</dd>
</dl>

sa.econ: Historical demographic & economic data for South Australia

Description

Arguments

Format

References

Examples