Classics

Below are some most-viewed blog posts that are not time-sensitive. I will update the list every one or two months.

Blog Series
  1. Load forecasting terminology (23 posts, last update 4/8/2015)
  2. Error analysis in load forecasting (just started...)
Classic Posts
  1. Breakthrough or too good to be true: several smoke tests (8/7/2017)
  2. Winning methods from npower forecasting challenge 2016 (12/20/2016)
  3. 7 reasons to send your best papers to IJF (11/28/2016)
  4. A five-minute introduction to electric load forecasting (9/22/2016)
  5. My path to forecasting (5/18/2016)
  6. How to write conference papers (3/8/2016)
  7. Analytics, smart grid and big data: are they like teenage sex? (2/8/2016)
  8. That magic ruler may not work this year (12/16/2015)
  9. Where is my dissertation? (9/10/2015)
  10. Reading for writing (7/31/2015)
  11. Tao Hong: be honest (7/24/2015)
  12. Language for rejecting energy forecasting papers (4/17/2015)
  13. Keep reading every day: Tao's recommended websites for energy forecasters (2/21/2015)
  14. Multitasking: three steps, three tools and three tips (12/14/2014)
  15. Documentation in load forecasting: 4 reasons and 8 elements (11/24/2014)
  16. 10 recommended papers for GEFCom2014 contestants (8/5/2014)
  17. 13 lucky tips for energy forecasting (8/3/2014)
  18. Lessons learned from my trip to Brazil (8/2/2014)
  19. Three free online non-forecasting courses (5/27/2014)
  20. Tao's recommended SAS courses for energy forecasters (5/8/2014)
  21. Five things to do at the end of a semester (5/4/2014)
  22. The unfinished load forecasting presentation for Crystal Glidewell (4/22/2014)
  23. Literature review in three steps (3/15/2014)
  24. Manuscript review time (2/8/2014)
  25. Three worst marketing buzzwords for forecasting solutions (2/1/2014)
  26. Five targets for first semester PhD students (1/1/2014)
  27. Six tips on citing references in a research paper (12/24/2013)
  28. Which master would you like to become? (12/14/2013)
  29. Why I left a great place to work - from industry to academia (11/10/2013)
  30. Getting a PhD in 20 months (10/20/2013)
  31. Four steps to review an energy forecasting paper (9/26/2013)
  32. The gap between academic research and industry needs (9/10/2013)
  33. Tao's recommended reading list for energy forecasters (9/1/2013)
  34. Three MORE must-know basics of forecasting (4/21/2013)
  35. Three skills of the ideal energy forecaster (4/14/2013)
  36. Three must-know basics of forecasting (3/23/2013)
  37. The most valuable advice I got from Jim Burke (3/7/2013)