description | Time-series sAmpLes forecasted With ExoGenous variables |
last change | Thu, 6 Feb 2020 07:57:07 +0000 (08:57 +0100) |
URL | [public ] git://auder.net/talweg.git |
[private] git@auder.net:talweg.git |
Joint work with Jean-Michel Poggi and Bruno Portier
Forecast a curve sampled within the day (seconds, minutes, hours…), using past measured curves + past exogenous informations, which could be some aggregated measure on the past curves, the weather… Main starting point: computeForecast().
NOTE: algorithms are not specific to PM10 and could be applied to anything else (in similar contexts). However, seasons are hard-coded to follow pollution events. You may want to change them in pkg/R/utils.R, function .isSameSeason()
NOTE 2: the package works for only one series (one station). Further extensions might consider the multi-series case.
The final report may be found at this location
4 years ago | master | shortlog | log | tree |