| Valuation Of Plant and Operating
Profits
Generator Load Scheduling
Retail Customer Management System
Deal Capture System
Modern Risk Management System
What the industry leaders have
to say about EnWorkz technology:
Prior to full product release, EnWorkz
has introduced these products to the industry in a series
of one-on-one meetings with top-tier energy companies.
Many of those companies are not able to say what they
think about products outside of their organization,
and we are therefore incapable of relaying their impressions.
A couple of those who were able to say something are
quoted here.
| • |
Michael
Day, VP Corporate Risk Management at Duke Energy
says, "This is the most promising pre-commercial
technology I have seen this year. If these guys
can get this to market as they have suggested, it
can really change the paradigm on how companies
approach financial risk analytics." |
| • |
Vince
Kaminski, Sr. VP Commercial Analytics at Reliant
Energy says, “I like the way they have combined
the physical and financial aspects of modeling.
They seem to have an extra edge in the speed of
their unit commitment / dispatching algorithm that
could be very valuable for financial analytics.” |
Some other real life examples of
PowerUp at work:
| • |
Addition of new application
modules - It took only one day for a developer to
implement a new asset type, e.g. futures contract,
for an application. The work included modifying
the engine model, the UI, and adding full database
support. |
| • |
Integration Flexibility
- Users can move transparently between XML persistence
and SQL database persistence without changing any
code. |
| • |
UI Development -
The PowerUp Risk Assessment screen was initially
implemented as a desktop UI, and was later redeployed
as a web-enabled UI in just two days. The web UI
did not sacrifice any of the functionality in the
desktop UI, and is just as visually appealing and
easy to use as the original desktop application. |
| • |
Accuracy and Speed
- In running the unit commitment algorithm against
numerous complex asset scenarios, we have experienced
a speed increase of 100 to 1000 times over existing
techniques. Accuracies were also better, as standard
deviation of the error is reduced with the ability
to run more scenarios pre unit time. In the past,
it would have been necessary to run scenarios overnight
or throughout the day to get an answer. What this
means to the user is that when business conditions
change, you can be hours ahead when minutes count. |
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