Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285012142> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4285012142 endingPage "112751" @default.
- W4285012142 startingPage "112751" @default.
- W4285012142 abstract "The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term resource variations and even the connection between ocean warming and wave power variations. Therefore, it is crucial to accurately characterise the future resource, including these long-term variations. To that end, this paper presents a novel data-driven forecasting approach through the combination of machine-learning (ML) and oceanic engineering concepts. First, the historical resource is characterised in the Bay of Biscay, including the different long-term trends identified based upon the dataset obtained via the SIMAR model ensemble. Secondly, the most relevant features of the metocean dataset are extracted and selected via advanced statistical techniques. Finally, three different ML algorithms are designed, validated and tested. All three ML models demonstrate to adequately represent the overall pattern of the dataset, although showing difficulties with reproducing particular peak values. Accordingly, an alternative interval prediction approach is presented for three different wave height discretisation levels, showing a greater potential for long-term metocean data forecasting." @default.
- W4285012142 created "2022-07-12" @default.
- W4285012142 creator A5008368609 @default.
- W4285012142 creator A5024351061 @default.
- W4285012142 creator A5035373577 @default.
- W4285012142 creator A5053209316 @default.
- W4285012142 date "2022-10-01" @default.
- W4285012142 modified "2023-10-05" @default.
- W4285012142 title "A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems" @default.
- W4285012142 cites W1966945655 @default.
- W4285012142 cites W1985495944 @default.
- W4285012142 cites W2018408660 @default.
- W4285012142 cites W2019891950 @default.
- W4285012142 cites W2033781209 @default.
- W4285012142 cites W2070656221 @default.
- W4285012142 cites W2123029054 @default.
- W4285012142 cites W2146008045 @default.
- W4285012142 cites W2170423728 @default.
- W4285012142 cites W2419007014 @default.
- W4285012142 cites W2760434143 @default.
- W4285012142 cites W2800005016 @default.
- W4285012142 cites W2864622186 @default.
- W4285012142 cites W2894358359 @default.
- W4285012142 cites W2897944765 @default.
- W4285012142 cites W2898043499 @default.
- W4285012142 cites W2898807683 @default.
- W4285012142 cites W2902543865 @default.
- W4285012142 cites W2908726945 @default.
- W4285012142 cites W2911964244 @default.
- W4285012142 cites W2914790694 @default.
- W4285012142 cites W2963098640 @default.
- W4285012142 cites W2963287758 @default.
- W4285012142 cites W2997418121 @default.
- W4285012142 cites W3088884895 @default.
- W4285012142 cites W3147640455 @default.
- W4285012142 cites W3165415149 @default.
- W4285012142 cites W3217494966 @default.
- W4285012142 cites W4200199547 @default.
- W4285012142 cites W657675841 @default.
- W4285012142 doi "https://doi.org/10.1016/j.rser.2022.112751" @default.
- W4285012142 hasPublicationYear "2022" @default.
- W4285012142 type Work @default.
- W4285012142 citedByCount "15" @default.
- W4285012142 countsByYear W42850121422022 @default.
- W4285012142 countsByYear W42850121422023 @default.
- W4285012142 crossrefType "journal-article" @default.
- W4285012142 hasAuthorship W4285012142A5008368609 @default.
- W4285012142 hasAuthorship W4285012142A5024351061 @default.
- W4285012142 hasAuthorship W4285012142A5035373577 @default.
- W4285012142 hasAuthorship W4285012142A5053209316 @default.
- W4285012142 hasBestOaLocation W42850121421 @default.
- W4285012142 hasConcept C119599485 @default.
- W4285012142 hasConcept C121332964 @default.
- W4285012142 hasConcept C124101348 @default.
- W4285012142 hasConcept C127413603 @default.
- W4285012142 hasConcept C188573790 @default.
- W4285012142 hasConcept C206345919 @default.
- W4285012142 hasConcept C31258907 @default.
- W4285012142 hasConcept C41008148 @default.
- W4285012142 hasConcept C61797465 @default.
- W4285012142 hasConcept C62520636 @default.
- W4285012142 hasConceptScore W4285012142C119599485 @default.
- W4285012142 hasConceptScore W4285012142C121332964 @default.
- W4285012142 hasConceptScore W4285012142C124101348 @default.
- W4285012142 hasConceptScore W4285012142C127413603 @default.
- W4285012142 hasConceptScore W4285012142C188573790 @default.
- W4285012142 hasConceptScore W4285012142C206345919 @default.
- W4285012142 hasConceptScore W4285012142C31258907 @default.
- W4285012142 hasConceptScore W4285012142C41008148 @default.
- W4285012142 hasConceptScore W4285012142C61797465 @default.
- W4285012142 hasConceptScore W4285012142C62520636 @default.
- W4285012142 hasFunder F4320321705 @default.
- W4285012142 hasFunder F4320335598 @default.
- W4285012142 hasLocation W42850121421 @default.
- W4285012142 hasLocation W42850121422 @default.
- W4285012142 hasOpenAccess W4285012142 @default.
- W4285012142 hasPrimaryLocation W42850121421 @default.
- W4285012142 hasRelatedWork W1596801655 @default.
- W4285012142 hasRelatedWork W2130043461 @default.
- W4285012142 hasRelatedWork W2350741829 @default.
- W4285012142 hasRelatedWork W2358668433 @default.
- W4285012142 hasRelatedWork W2376932109 @default.
- W4285012142 hasRelatedWork W2382290278 @default.
- W4285012142 hasRelatedWork W2390279801 @default.
- W4285012142 hasRelatedWork W2748952813 @default.
- W4285012142 hasRelatedWork W2899084033 @default.
- W4285012142 hasRelatedWork W2530322880 @default.
- W4285012142 hasVolume "167" @default.
- W4285012142 isParatext "false" @default.
- W4285012142 isRetracted "false" @default.
- W4285012142 workType "article" @default.