A blog by Rob J Hyndman. The latest issue of the IJF is a bumper issue with over 500 pages of forecasting insights.
The GEFCom2014 papers are included in a special section on probabilistic energy forecasting, guest edited by Tao Hong and Pierre Pinson. This is a major milestone in energy forecasting research with the focus on probabilistic forecasting and forecast evaluation done using a quantile scoring method. Only a few years ago I was having to explain to energy professionals why you couldn’t use a MAPE to evaluate a percentile forecast.
With this special section, we now have a tutorial review on probabilistic electric load forecasting by Tao Hong and Shu Fan, which should help everyone get up to speed with current forecasting approaches, evaluation methods and common misunderstandings. The section also contains a large number of very high quality articles showing how to do state-of-the-art density forecasting for electricity load, electricity price, solar and wind power. Seaborn: statistical data visualization — seaborn 0.7.1 documentation. A Beginner’s Guide To A/B Testing: Exceptional Web Copy. Optimizing the copy on your website is at least as important as optimizing the design, especially if the primary goal of that site is to convert visitors.
A pretty design can only get you so far. If you really want to gain new customers, you need to optimize the text on your site to instill trust in visitors and make them want to purchase from you. We often spend hours or days reading about the best techniques to use to sell products. But that doesn’t give us a complete picture, and what works great for one company or one product might not work at all for another. A/B testing is the simplest type of testing you can do to figure out which variations of copy, headline, and other factors are most effective in direct relation to your site and your offerings.
Things to Test There are a ton of things you can test on your site to see what’s most effective. Here’s a brief list of the web copy elements on your site you might test: Tools for A/B Testing A/B Testing Best Practices. Orange Data Mining. Interactive Data Visualization for the Web. Copyright © 2013 Scott Murray Printed in the United States of America.
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