Long- And Short-Term Electric Load Forecasting On Quarter-Hour Data: A 3-Torus Approach

2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC)(2016)

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摘要
Long-and short-term forecasting of the Italian electric power load is investigated on a quarter-hour time scale. The detrended and log-transformed data are modelled as the sum of a seasonal term (the potential) and intervention terms accounting for holidays. Yearly, weekly and daily periodicities are effectively captured by modelling the potential as a function defined on a 3-torus. The model yields long-term whole-year predictions, that, with a suitable correction, provide also shortterm whole day predictions. When tested on Italian 2013 load data, the new one-day-ahead forecaster performs definitely better than two state-of-art forecasters currently used by the Italian TSO.
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关键词
Load forecasting,power networks,time series analysis
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