An example of building an onlineforecast model for forecasting of a
single family house heat load. Weather forecasts of ambient temperature
and solar radiation, together with a diurnal curve forms the input to
the model - which is fitted adaptive in time (with RLS).
An example of building an onlineforecast model for forecasting of a
solar power from a single site PV. The inputs are weather forecasts of
solar radiation, going into the model conditional on the time of day,
and fitted adaptive in time (with RLS).
An example of building an onlineforecast model for forecasting of
domestic hot water in two settings. First the actual water first
forecast the hourly average DHW flow to a multi-family building in
Copenhagen, second, forecast the hourly heat load for DHW in single
family buildings from Sønderborg.
An detailed step-by-step introduction to the methodology. A good example
of the steps in the methodology applied in the onlineforecast package,
thus very useful for understanding more in depth what goes on - and
especially how a new fitting method can be implemented using the same
framework.
For a detailed introduction, see the vignettes. For an in-depth description, read
onlineforecasting.