SHORT-TERM LOAD FORECASTING USING TIME SERIES ANALYSIS: A CASE STUDY FOR THE REPUBLIC OF NORTH MACEDONIA

Journal
Journal of Electrical Engineering and Information Technologies
Date Issued
2020-12-14
Author(s)
Kiteva Rogleva, Nevenka
DOI
10.51466/jeeit2052135k
Abstract
Load forecasts are important for energy suppliers. Accurate models for load forecasting are essential to the operation and planning of a utility company. This paper involves the development of short-term load forecasting models for the Republic of North Macedonia and a comparison of various models. These models use time series analysis such as the Autoregressive Integrated Moving Average model and the Seasonal Autoregressive Integrated Moving Average with Explanatory Variable model. The results were evaluated by the Mean Absolute Percentage Error of 0.5% for the forecasted day.
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Autoregressive Integr...

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