Skip to main content
Carpentries Incubator Pre-Alpha This lesson is in the pre-alpha phase, which means that it is in early development, but has not yet been taught.

    Carpentries Incubator
    Modeling Power Consumption with Python
    • Modeling Power Consumption with Python
    • Key Points
    • Instructor Notes
    • Extract All Images

      • Glossary
    Search the All In One page
    Modeling Power Consumption with Python
    %
  • Learner View

    Summary and Schedule
    1. Introduction to Time-series Forecasting
    2. Baseline Metrics for Timeseries Forecasts
    3. Moving Average Forecasts
    4. Autoregressive Forecasts
    5. Autoregressive Moving Average Forecasts
    6. Autoregressive Integrated Moving Average Forecasts
    7. Seasonal Autoregressive Integrated Moving Average Forecasts

    • Key Points
    • Instructor Notes
    • Extract All Images

    • Glossary

    See all in one page

    Instructor Notes

    This is a placeholder file. Please add content here.

    Introduction to Time-series Forecasting


    Baseline Metrics for Timeseries Forecasts


    Moving Average Forecasts


    Autoregressive Forecasts


    Autoregressive Moving Average Forecasts


    Autoregressive Integrated Moving Average Forecasts


    Seasonal Autoregressive Integrated Moving Average Forecasts



    This lesson is subject to the Code of Conduct

    Edit on GitHub | Contributing | Source

    Cite | Contact | About

    Materials licensed under CC-BY 4.0 by the authors

    Template licensed under CC-BY 4.0 by The Carpentries

    Built with sandpaper (0.16.10), pegboard (0.7.7), and varnish (1.0.5)


    Back To Top