Electricity Demand & Price Forecasting with Matlab

Post date: 13-Oct-2010 02:52:50

Electricity Demand & Price Forecasting with MATLAB

October 28th, 2010

2 PM ET/ 11 AM PT/18:00 GMT

(Duration: 1 hour)

In this webinar, you will learn how MATLAB can be used to forecast short-term electricity load (demand) and prices. Nonlinear regression and neural network modeling techniques are used to demonstrate accurate modeling using historical, seasonal, day-of-the week, and temperature data.

Highlights include:

· Forecasting short-term electricity loads and prices

· Accessing data from regional wholesale electricity markets

· “White-box” modeling using customizable algorithms and viewable-source functions

· Deploying and integrating an energy load forecaster

This webinar is for practitioners at power generators, utilities or energy trading groups whose focus is transmission planning, distribution operations, derivative valuation, or quantitative analysis. Familiarity with MATLAB is not required.Electricity Demand & Price Forecasting with MATLAB

REGISTER HERE

Webinars as per your convenience... Busy on the day of the live event? Simply register now and access when it becomes available on demand the following day. The webinars are available on Demand for 12 months after the live event.

System requirements

200 MHz or faster

64 MB RAM minimum

16 bit sound card

16 bit color video display card

Windows XP/Windows Vista

Apple Mac OS X 10.4

Microsoft Windows Player 10 or 11

RealPlayer 10.X

IE 6.0 or later

Firefox 1.5 or later