Abstract
The paper presents the possibility of using statistical methods to automate the selection of explanatory variables to balance the daily load of the National Power System (NPS). With automation, the cost of input forecast purchase may be optimized by minimizing their number, and the results also allow for a reduction in the effort required to select input parameters (explanatory variables) for later forecasting of NPS daily loads.
| Translated title of the contribution | The concept of explanatory variables automated selection methods usage for input data purchase cost optimization in the scope of national power system daily load profile forecasting |
|---|---|
| Original language | Polish |
| Pages (from-to) | 29-32 |
| Number of pages | 4 |
| Journal | Przeglad Elektrotechniczny |
| Volume | 95 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2019 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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