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Short-term residential load forecasting: Impact of calendar effects and forecast granularity

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  • Lusis, Peter
  • Khalilpour, Kaveh Rajab
  • Andrew, Lachlan
  • Liebman, Ariel

Abstract

Literature is rich in methodologies for “aggregated” load forecasting which has helped electricity network operators and retailers in optimal planning and scheduling. The recent increase in the uptake of distributed generation and storage systems has generated new demand for “disaggregated” load forecasting for a single-customer or even down at an appliance level. Access to high resolution data from smart meters has enabled the research community to assess conventional load forecasting techniques and develop new forecasting strategies suitable for demand-side disaggregated loads.

Suggested Citation

  • Lusis, Peter & Khalilpour, Kaveh Rajab & Andrew, Lachlan & Liebman, Ariel, 2017. "Short-term residential load forecasting: Impact of calendar effects and forecast granularity," Applied Energy, Elsevier, vol. 205(C), pages 654-669.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:654-669
    DOI: 10.1016/j.apenergy.2017.07.114
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    References listed on IDEAS

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