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Building from the hourly file with all times, we construct the china-time specific day-time only hours file, we develope a script where we can specific the start hour and end hour of the day, and we develope a strategy to convert from UTC time information to China time informaiton
Building from the hourly file with all times, we construct the China-time specific non-winter hours only file, we follow the code from Part 1, with now month exclusion. Excluding Jan/Feb/Nov/Dec. See https://en.wikipedia.org/wiki/Climate_of_China#Examples.
Algorithm
Load libraries
Day time hour parameters, inclusive boundaries 6 to 22
Get paths, constructed in R-script/ffs_pirecec_support.R
Data file names
Read in file, all hours data
Pivot longer
Convert hours to utc time format
Convert UTC time to time in Shanghai
Cut non daytime hours
reindex hour of year
select and reshape to wide
save
The text was updated successfully, but these errors were encountered:
FanWangEcon
changed the title
Data: Prepare for data with only day time hours
Data: Prepare for data with only day time hours and cut year by seasons
Feb 10, 2024
Alternative time considerations
Part 1, Construct day time hours only file
Building from the hourly file with all times, we construct the china-time specific day-time only hours file, we develope a script where we can specific the start hour and end hour of the day, and we develope a strategy to convert from UTC time information to China time informaiton
For more details see PIRE-CEC::issue-35.
Part 2, Construct non-winter time only
Building from the hourly file with all times, we construct the China-time specific non-winter hours only file, we follow the code from Part 1, with now month exclusion. Excluding Jan/Feb/Nov/Dec. See https://en.wikipedia.org/wiki/Climate_of_China#Examples.
Algorithm
R-script/ffs_pirecec_support.R
The text was updated successfully, but these errors were encountered: