Szczegóły publikacji
Opis bibliograficzny
Short-term electrical load forecasting at a 15-minute resolution: a benchmarking study using a rolling-window training approach against official TSO forecasts / Kamil MISIUREK, Tadeusz OLKUSKI, Janusz ZYŚK // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073 . — 2026 — vol. 19 iss. 13 art. no. 3211, s. 1–17. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 16–17, Abstr. — Publikacja dostępna online od: 2026-07-07
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 169186 |
|---|---|
| Data dodania do BaDAP | 2026-07-31 |
| Tekst źródłowy | URL |
| DOI | 10.3390/en19133211 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Energies |
Abstract
Modern power systems require increasingly precise forecasts of electricity consumption, which are crucial for effective planning, reducing the risk of power shortages, and integrating renewable energy sources. This article presents the results of comparative benchmarking studies on short-term load forecasting (STLF) at a 15 min resolution. The study uses the rolling-window training method, and the results were compared with the official forecasts of the Transmission System Operator (TSO). The analysis is based on time series and machine learning methods, with the aim of improving the operational accuracy necessary for stable and secure management of the power management system.
