Embedding based quantile regression neural network for probabilistic load forecasting
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-5420
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Embedding based quantile regression neural network for probabilistic load forecasting ; volume:6 ; number:2 ; day:13 ; month:2 ; year:2018 ; pages:244-254 ; date:3.2018
Journal of modern power systems and clean energy ; 6, Heft 2 (13.2.2018), 244-254, 3.2018
- Classification
-
Natürliche Ressourcen, Energie und Umwelt
- Creator
-
GAN, Dahua
- Contributor
- DOI
-
10.1007/s40565-018-0380-x
- URN
-
urn:nbn:de:1111-201805198535
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 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
- GAN, Dahua
- Wang, Yi
- YANG, Shuo
- KANG, Chongqing
- SpringerLink (Online service)
Other Objects (12)
Feature selection for probabilistic load forecasting via sparse penalized quantile regression
Bayesian bootstrap quantile regression for probabilistic photovoltaic power forecasting
ProLoaF : Probabilistic load forecasting for power systems
Probabilistic Short-Term Load Forecasting using conditioned normalizing flows
Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows
Conditional probabilistic population forecasting
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation
Forecasting and stress testing with quantile vector autoregression
Probabilistic Forecasting Based on Hydrometeorological Ensembles
Probabilistic weather forecasting with machine learning
Electricity load forecasting for industrial microgrid and load management
A PROBABILISTIC EMBEDDING CLUSTERING METHOD FOR URBAN STRUCTURE DETECTION
Feature selection for probabilistic load forecasting via sparse penalized quantile regression
Bayesian bootstrap quantile regression for probabilistic photovoltaic power forecasting
ProLoaF : Probabilistic load forecasting for power systems
Probabilistic Short-Term Load Forecasting using conditioned normalizing flows
Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows
Conditional probabilistic population forecasting
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation
Forecasting and stress testing with quantile vector autoregression
Probabilistic Forecasting Based on Hydrometeorological Ensembles
Probabilistic weather forecasting with machine learning
Electricity load forecasting for industrial microgrid and load management
A PROBABILISTIC EMBEDDING CLUSTERING METHOD FOR URBAN STRUCTURE DETECTION
Feature selection for probabilistic load forecasting via sparse penalized quantile regression
Bayesian bootstrap quantile regression for probabilistic photovoltaic power forecasting
ProLoaF : Probabilistic load forecasting for power systems
Probabilistic Short-Term Load Forecasting using conditioned normalizing flows
Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows
Conditional probabilistic population forecasting
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation
Forecasting and stress testing with quantile vector autoregression
Probabilistic Forecasting Based on Hydrometeorological Ensembles
Probabilistic weather forecasting with machine learning
Electricity load forecasting for industrial microgrid and load management