Energy Forecasting just went through three full years. This is the time to look back at the statistics in 2015.
All-time top 10 most viewed posts (from 3649 views to 1607 views):
Where are the readers?
They are from 134 countries and SARs.
Comparing with Energy Forecasting @2014:
|
|
2014
|
2015
|
2013 - 2015
|
|
Countries
|
125
|
134
|
152
|
|
Cities
|
2,147
|
2,146
|
3503
|
|
Users
|
10,878
|
12,119
|
28,384
|
|
Pageviews
|
40,986
|
39,533
|
100,949
|
|
Visits
|
20,892
|
20,921
|
52,317
|
|
Duration
(hr)
|
824
|
715
|
1918
|
- I'm hiring: research assistantships available
- Inside leaderboard
- Call For Papers: Probabilistic Energy Forecasting | International Journal of Forecasting
- GEFCom2014 is ON - 8 tips before you join the game
- Who's #1? Rating, ranking and provisional leaderboard of GEFCom2014
- Tao's recommended reading list for energy forecasters
- 10 recommended papers for GEFCom2014 contestants
- Call For Papers: Big Data Analytics for Grid Modernization | IEEE Transactions on Smart Grid
- Load forecasting terminology: a growing list
- The most valuable advice I got from Jim Burke
Top 10 most-viewed classic posts (from 2736 views to 1156 views):
- Tao's recommended reading list for energy forecasters
- 10 recommended papers for GEFCom2014 contestants
- Load forecasting terminology: a growing list
- The most valuable advice I got from Jim Burke
- Three must-know basics of forecasting
- Tao's recommended SAS courses for energy forecasters
- Load factor, coincidence factor, diversity factor and responsibility factor
- Three skills of the ideal energy forecaster
- 13 lucky tips for energy forecasting
- Long term probabilistic load forecasting and normalization with hourly information
As always, thank you all for your encouragement and support. Happy forecasting in 2016!
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