pyaeso 0.4

Pythonic access to the Alberta (Canada) Electric System Operator (AESO) Energy Trading System (ETS).

pyaeso is a python package that makes access to the Alberta Electric System Operator’s (AESO) Energy Trading System (ETS) easier.

The Alberta Electric Systems Operator (AESO) <http://www.aeso.ca> operates the Canadian province of Alberta’s deregulated electricity market. AESO provides price, demand, and other valuable information through the publically accessible Energy Trading System (ETS) website <http://ets.aeso.ca>. This information is useful for economic analysis, power trading, electric system study, and electric system forecasting. The first step in using such information is to download it and parse it into useful data structures - a task performed by this library. Typically the data will feed statistical methods, heuristics, and system models to provide useful analysis of the Alberta electric system.

The pyaeso project is hosted at <http://bitbucket.org/kc/pyaeso> and releases are made via the Python Package Index at <http://pypi.python.org/pypi/pyaeso>. Online documentation is available at <http://packages.python.org/pyaeso>.

Requirements

• Python 2.4 or better - Available at <http://python.org/download> (2009-11-25).
• pytz - “World timezone definitions, modern and historical”. Available at <http://pypi.python.org/pypi/pytz> (2009-11-14).

Installation

Extract the archive, enter the recovered directory and type:

python setup.py install

Usage

Some code samples that use pyaeso are availble in the examples directory. One sample is listed here:

>>> '''Print yesterday's market clearing price/demand points and exit.'''
>>>
>>> # Standard library imports
>>> import sys
>>> from StringIO import StringIO
>>> import datetime
>>>
>>> # 3rd Party Libraries
>>> from pyaeso import ets
>>>
>>> end_date = datetime.date.today()
>>> start_date = end_date - datetime.timedelta(1)
>>>
>>> f = StringIO()
>>> ets.dump_pool_price(f, start_date, end_date)
>>> f.seek(0)
>>> #print f.getvalue()
>>> data = list(ets.parse_pool_price_file(f))
>>> f.close()
>>>
>>> print '''Yesterday's market clearing price/demand points.'''
>>> for d in data:
>>>     print d.t.astimezone(ets.ALBERTA_TZ), '$' + str(d.price), str(d.demand) + 'MW'

Known Incompatibilities

• Python <= 2.3 - Fails because pyaeso uses several standard library modules that were introduced in Python 2.4.
• Python 3 - pyaeso uses the pytz package which has no Python 3 version (2009-11-14). The pyaeso library should be quickly available for Python 3 once pytz is updated.

Changes in pyaeso 0.4 (2010-02-16)

• Added marginal pool price report handler and tests.
• Added marginal_prices.py example script that demonstrates the use of the new marginal pool price report handler.
• Reduced package size by removing excessive test series data.
• Changed output format of marketgraphs.py to be more suitable for documentation; also corrected an axis title.

Bugs and Enhancements

If you would like to file a bug report or feature request then you can do so at <http://bitbucket.org/kc/pyaeso/issues>.

Contact

As the maintainer of this library I, Keegan Callin, would welcome your polite, constructive comments and criticisms of this library. I can be reached by email using the address kc (at) kcallin.net. If you need to talk to me on the telephone or send me something by snail mail, send me an email and I’ll gladly mail you instructions on how to reach me.