- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Multiscale-integrated deep learning approaches for short-term load forecasting ; day:6 ; month:8 ; year:2024 ; pages:1-16
International journal of machine learning and cybernetics ; (6.8.2024), 1-16
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s13042-024-02302-4
- URN
-
urn:nbn:de:101:1-2410262114599.134826833101
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yang, Yang
- Gao, Yuchao
- Wang, Zijin
- Li, Xi’an
- Zhou, Hu
- Wu, Jinran
- SpringerLink (Online service)
Other Objects (12)
TikTok/Douyin Use and Its Influencer Video Use: A Cross-Cultural Comparison Between Chinese and US Users
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
How Africans pursue low-end globalization in Hong Kong and Mainland China
Does high-quality auditing decrease the use of collateral? Analysis from the perspective of lenders' self-protection
Recent advances in the electrochemical oxidation water treatment: Spotlight on byproduct control
Total synthesis and determination of the absolute configuration of a natural analgesic: crotonine
Snapping for 4D‐Printed Insect‐Scale Metal‐Jumper
Wadsley–Roth Crystallographic Shear Structure Niobium‐Based Oxides: Promising Anode Materials for High‐Safety Lithium‐Ion Batteries
Echtzeitverfolgung der ultraschnellen Strukturänderungen der Pr und Pfr Photoisomerisierungen in Phytochrom
Power system short-term load forecasting
A survey on wind power forecasting with machine learning approaches
Cheap-talk Communication in Procurement Auctions: Theory and Experiment
TikTok/Douyin Use and Its Influencer Video Use: A Cross-Cultural Comparison Between Chinese and US Users
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
How Africans pursue low-end globalization in Hong Kong and Mainland China
Does high-quality auditing decrease the use of collateral? Analysis from the perspective of lenders' self-protection
Recent advances in the electrochemical oxidation water treatment: Spotlight on byproduct control
Total synthesis and determination of the absolute configuration of a natural analgesic: crotonine
Snapping for 4D‐Printed Insect‐Scale Metal‐Jumper
Wadsley–Roth Crystallographic Shear Structure Niobium‐Based Oxides: Promising Anode Materials for High‐Safety Lithium‐Ion Batteries
Echtzeitverfolgung der ultraschnellen Strukturänderungen der Pr und Pfr Photoisomerisierungen in Phytochrom
Power system short-term load forecasting
A survey on wind power forecasting with machine learning approaches
Cheap-talk Communication in Procurement Auctions: Theory and Experiment
TikTok/Douyin Use and Its Influencer Video Use: A Cross-Cultural Comparison Between Chinese and US Users
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
How Africans pursue low-end globalization in Hong Kong and Mainland China
Does high-quality auditing decrease the use of collateral? Analysis from the perspective of lenders' self-protection
Recent advances in the electrochemical oxidation water treatment: Spotlight on byproduct control
Total synthesis and determination of the absolute configuration of a natural analgesic: crotonine
Snapping for 4D‐Printed Insect‐Scale Metal‐Jumper
Wadsley–Roth Crystallographic Shear Structure Niobium‐Based Oxides: Promising Anode Materials for High‐Safety Lithium‐Ion Batteries
Echtzeitverfolgung der ultraschnellen Strukturänderungen der Pr und Pfr Photoisomerisierungen in Phytochrom
Power system short-term load forecasting
A survey on wind power forecasting with machine learning approaches