Sökning: onr:"swepub:oai:DiVA.org:kth-322798" >
Scenario Generation...
-
Liao, WenlongAalborg Univ, AAU Energy, Aalborg, Denmark.
(författare)
Scenario Generations for Renewable Energy Sources and Loads Based on Implicit Maximum Likelihood Estimations
- Artikel/kapitelEngelska2022
Förlag, utgivningsår, omfång ...
-
Journal of Modern Power Systems and Clean Energy,2022
-
printrdacarrier
Nummerbeteckningar
-
LIBRIS-ID:oai:DiVA.org:kth-322798
-
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-322798URI
-
https://doi.org/10.35833/MPCE.2022.000108DOI
Kompletterande språkuppgifter
-
Språk:engelska
-
Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
-
Ämneskategori:ref swepub-contenttype
-
Ämneskategori:art swepub-publicationtype
Anmärkningar
-
QC 20230314
-
Scenario generations for renewable energy sources and loads play an important role in the stable operation and risk assessment of integrated energy systems. This paper proposes a deep generative network based method to model time-series curves, e.g., power generation curves and load curves, of renewable energy sources and loads based on implicit maximum likelihood estimations (IMLEs), which can generate realistic scenarios with similar patterns as real ones. After training the model, any number of new scenarios can be obtained by simply inputting Gaussian noises into the data generator of IMLEs. The proposed approach does not require any model assumptions or prior knowledge of the form in the likelihood function being made during the training process, which leads to stronger applicability than explicit density model based methods. The extensive experiments show that the IMLEs accurately capture the complex shapes, frequency-domain characteristics, probability distributions, and correlations of renewable energy sources and loads. Moreover, the proposed approach can be easily generalized to scenario generation tasks of various renewable energy sources and loads by fine-tuning parameters and structures.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
-
Bak-Jensen, BirgitteAalborg Univ, AAU Energy, Aalborg, Denmark.
(författare)
-
Pillai, Jayakrishnan RadhakrishnaAalborg Univ, AAU Energy, Aalborg, Denmark.
(författare)
-
Yang, ZheAalborg Univ, AAU Energy, Aalborg, Denmark.
(författare)
-
Wang, YusenKTH,Teknisk informationsvetenskap(Swepub:kth)u1b025u3
(författare)
-
Liu, KuangpuAalborg Univ, AAU Energy, Aalborg, Denmark.
(författare)
-
Aalborg Univ, AAU Energy, Aalborg, Denmark.Teknisk informationsvetenskap
(creator_code:org_t)
Sammanhörande titlar
-
Ingår i:Journal of Modern Power Systems and Clean Energy: Journal of Modern Power Systems and Clean Energy10:6, s. 1563-15752196-56252196-5420
Internetlänk
Hitta via bibliotek
Till lärosätets databas