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辅导ECON 2209辅导Business Forecasting


Major Course Assignment
ECON 2209- Business Forecasting
Term 1, 2020
The Australian Energy Market Operator (AEMO) is the national energy market operator
and is responsible for delivering integrated, secure and cost effective energy supply in
New South Wales, Victoria, South Australia, Queensland and Tasmania. AEMO
operates the electricity and gas markets systems and also provides planning advice to
energy generation, transmission and distribution businesses in these five States.
One of the key responsibilities of AEMO is to maintain supply and demand balance in
the electricity sector of the National Energy Market (NEM) particularly in the generation
and bulk transmission sectors and prepares annual electricity and gas statement of
opportunities- ESOO and GSOO in order to attract investments in these sectors.
AEMO publishes historical power demand and spot price (daily and half hourly) data for
each jurisdictions, that is, all NEM States. See AEMO’s website www.aemo.com.au.
For the major course project for ECON 2209 you are required to:
I. Construct an Excel spreadsheet with historical data for the 10 year period -
from 1 January 2010 to 31 December 2019 in respect of the jurisdiction of New
South Wales:
1. Daily energy (MWh);
2. Daily peak demand (MW);
3. Daily average spot price
4. Daily maximum and minimum temperatures for each weather station
5. Daily 9 am and 3pm relative humidity for each nominated weather stations.

II. Undertake a temperature correction analysis for summer peak demand in
each year (1 Nov to 31 March excluding week-end days and public holidays) on
the basis of a 10 percent probability of exceedence maximum temperature and
long term weighted average relative humidity.

III. Construct a historical annual temperature corrected summer peak demand
series and an annual energy demand series.


IV. Formulate a reliable temperature corrected summer peak demand model
using multiple regression technique. Potential predictor variables are annual
NSW real Gross State Product (GSP), real household disposable income, interest
rates, retail/spot prices of electricity, air conditioner penetration (25% of the
households in 1995, 50% in 2000, 65% in 2005, 70% in 2010 and 80%% in
2018).

V. Formulate a reliable annual energy demand model using multiple regression
technique. Potential predictor variables are Real NSW GSP, real household
disposable income, interest rates and annual total cooling degree days (CDD)
and annual total heating degree days(HDD) threshold temperature being 21
degree centigrade and 12 degree centigrade respectively.

Note: Historical data for macro-variables are available from the Australian Bureau
of Statistics (ABS) website: www.abs.gov.au. Historical weather data should be
available from the Bureau of Meteorology (BoM) website: www.bom.gov.au .

VI Acquire macro projections from NSW State Treasury or other sources for at
least three economic and demographic scenarios (High, Most Likely and Low).
Using long term average values for weather variables (real average retail
electricity price projections will be provided) produce summer peak demand and
annual energy demand in NSW ten years out for each of these scenarios,
incorporating post modelling adjustments for roof top PV solar penetrations and
energy efficiency improvements.

VII. Provide comments on demand and supply balance for the NSW power
system particularly in relation to generation and bulk transmission sectors. For
the current capacity information refer to AEMO and NSW Transgrid
(www.trangrid.com.au) websites.

Maximum marks:17

Marking Scheme:

a) Use and documentation of appropriate demand modelling and forecasting
methods using appropriate data (4 marks);
b) Quality of desk research (5 marks);
3

c) Quality of coloured graphs and tables (including scatter plots) (2 marks);
d) Appropriate style of business report, quality and correctness of English
business language (2 marks);
e) Level of understanding and interpretation of the topic, argument used and
conclusion drawn (2 marks); and
f) Peer assessment (2 marks).

Note:
1. This assignment can be undertaken in a group of up to four students.
2. Provide a cover page- type the names of students and student IDs.
Signatures of students are required as well.
3. Peer assessment report must be attached with the assignment. (see the
course outline)
4. Use appropriate referencing format.
5. The maximum length of the assignment is strictly 12 pages including
bibliography and appendices.
6. The time deadline for submission of both electronic and paper versions of the
assignment is 6 pm 23 April 2020. The paper version and the electronic
version must be identical.

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