A Data Science Central Community
Attracting a steady stream of visitors to read blogs is a common challenge for bloggers. Holding the attention of readers and keep them from coming back is what everyone wants when they are writing a content. Also, a good number of readers determine the quality and credibility of your site.…Continue
Added by Kate Cooper on March 16, 2015 at 3:47am — No Comments
Global Energy Forecasting Competition 2014 by IEEE - Power Energy Society launches on CrowdANALYTIX platform. Check out the 4 tracks of your choice: Electric Load, Electric Price, Wind Power and Solar Power.
IEEE, the world’s largest professional organization dedicated to advancing technology for humanity, today announced the start of the Global Energy Forecasting Competition 2014 (GEFCom2014)—sponsored by the IEEE Power & Energy Society (PES) and organized by the IEEE Working…Continue
Added by mohans on August 19, 2014 at 1:45am — No Comments
check out how the generation fuel mix profile changes from winter months to summer months.
nicely analysed and visualized at
Added by Parag Patil on July 11, 2013 at 6:33pm — No Comments
using analytics and a lot of elbow grease .. came up with this.
check out the bidding profile of wind energy generators , bidding power into PJM during the month of Jan 2013..
need your feedback and comments to improve..
Added by Parag Patil on July 1, 2013 at 2:38pm — No Comments
In my previous post, we saw that R-squared can lead to a misleading interpretation of the quality of our regression fit, in terms of prediction power. One thing that R-squared offers no protection against is overfitting. On the other hand, cross validation, by allowing us to have cases in our testing set that are different from the cases in our training set, inherently offers protection against overfittting.
1.Do-it-yourself leave-one-out cross validation in R.
In this type…Continue
R squared, also known as coefficient of determination, is a popular measure of quality of fit in regression. However, it does not offer any significant insights into how well our regression model can predict future values. Instead, the PRESS statistic (the predicted residual sum of squares) can be used as a measure of predictive power. The PRESS statistic can be computed in the leave-one-out cross validation…Continue