Comparative Analysis of Methods for Hourly Electricity Demand Forecasting in the Absence of Data – A Case Study
This paper examines the impact of the number of gaps in data, the analytical form, and the model type selection criterion on the accuracy of interpolation and extrapolation forecasts for hourly data.
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| Format: | Article |
| Language: | English |
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Sciendo
2023-03-01
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| Series: | Studia Ekonomiczne i Regionalne |
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| Online Access: | https://doi.org/10.2478/ers-2023-0003 |