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A Hybrid CART-Gaussian Process Framework for Day-Ahead Electricity Load Forecasting with Uncertainty Quantification
Tun, Ei Thu Thu (Corresponding author) ; Jeenanunta, Chawalit (Corresponding author) ; Pyae Phyo, Pyae (Corresponding author)RWTH* ; Chapagain, Kamal (Corresponding author)
In
2025 3rd International Conference on Power and Renewable Energy Engineering (PREE 2025) : October 28-31, 2025, Nara, Japan / IEEE, Seiten/Artikel-Nr: 40-45
2026
Konferenz/Event:3. International Conference on Power and Renewable Energy Engineering
, Nara , Japan , PREE 2025 , 2025-10-28 - 2025-10-31
ImpressumPiscataway, NJ : IEEE
Umfang40-45
ISBN979-8-3315-6999-0, 979-8-3315-7000-2, 979-8-3315-7001-9
Datenträger: USB Stick
Online
DOI: 10.1109/PREE67492.2025.11433746
10.1109/PREE67492.2025.11433746
Einrichtungen
- Lehrstuhl für Automation of Complex Power Systems (616310)
- E.ON Energy Research Center (080052)
Dokumenttyp
Contribution to a book/Contribution to a conference proceedings
Format
online, print, data medium
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105037916596
OpenAlex: W7138880356
WOS Core Collection: WOS:001845049300008
Interne Identnummern
RWTH-2026-08148
Datensatz-ID: 1040765
Beteiligte Länder
Germany, Nepal, Thailand
