Service: prediction

Method normalize

Called by:

• prediction.epoch_of_day()
• prediction.x_epochs()

graph TD
   prediction.epoch_of_day --> prediction.normalize
   prediction.x_epochs --> prediction.normalize

Method epoch_of_day

Called by:

• prediction.epoch_of_day()

Calls:

• loadprofile_model.find()
• prediction.normalize()
• prediction.epoch_of_day()

graph TD
   prediction.epoch_of_day --> prediction.epoch_of_day
   prediction.epoch_of_day --> loadprofile_model.find
   prediction.epoch_of_day --> prediction.normalize
   prediction.epoch_of_day --> prediction.epoch_of_day

Method x_epochs

Simple machine learing based prediction of next epochs consumption The method operates by examining the consumption history of a meter during past epochs. An epoch in this context is defined as a distinct period during which energy consumption is measured and associated with a dynamic tariff. By assessing how much electricity was consumed during these previous intervals, the method constructs a model to forecast future usage. Limitation: Requires a sequence of readings without gaps.

Called by:

• prediction.x_epochs()

Calls:

• loadprofile.load()
• prediction.normalize()
• prediction.normalize()
• prediction.x_epochs()

graph TD
   prediction.x_epochs --> prediction.x_epochs
   prediction.x_epochs --> loadprofile.load
   prediction.x_epochs --> prediction.normalize
   prediction.x_epochs --> prediction.normalize
   prediction.x_epochs --> prediction.x_epochs