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

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

Applied Energy, 2017, vol. 205, issue C, 654-669

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.

Keywords: Short-term load forecasting; Residential load; Calendar effects; Granularity; Distributed generation and storage management; Disaggregated load (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (74)

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DOI: 10.1016/j.apenergy.2017.07.114

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