ML.NET Forcasting Light Switches on and off using TimeSerie or Regression once a week [Question]

[denvermasunda]

trafficstars

Question: i have data that has light IDs and when a light of a particular ID is switched on the data is captured now the next step is to try and figure out which light will be on for a particular week in the future. Can anyone let me know how this can be done either using Time series or regression link to the data

all i need to predict is an On or Off like a for the next week or 2

Key Light ID: this is a light represented ad an ID LightDate: this is data captured once a week over the course of 2 n half years OnOff: If the light for a particular ID was on on that time or off On being 1 and off Being 0 WeightByMonth: how many times the light was on for that month max can only be 4 since the data is captured once a week WeightByYear: how many times the light was on for that year TotalWeightOverTheYears: how many times the light was on for the entirety of the data being captured

[luisquintanilla]

Hi @denvermasunda

Looking at the data, you might be able to do something with time series. However, without any knowledge of the domain or rules around it, it's hard to provide any insights from the data given. Some things to consider:

• Are lights on for a week or more than a week in general? Why is the data only captured at weekly intervals?
• Are there any connections between the lights? Does it make sense for a light to be turned off if another light is turned on?