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Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms
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This paper presents two non-seasonal and two seasonal sliding window-based ARIMA (auto regressive integrated moving average) algorithms. These algorithms are developed for short-term forecasting of hourly electricity load at the district meter level.
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