FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2918982803> ?p ?o ?g. }

• W2918982803 endingPage "187" @default.
• W2918982803 startingPage "168" @default.
• W2918982803 abstract "Accurate and reliable modeling of photovoltaic (PV) modules is significant for optimal design, operation and evaluation of PV systems. PV models can be classified into equivalent circuit-based white box models and data-driven black box models. Due to the difficulty to obtain the ground true model parameters and the limitation posed by the predetermined model structure, white-box modeling methods generally suffer relatively low accuracy and generalization performance for arbitrary operating conditions. In addition, reported black-box models are based on the conventional artificial neural networks (ANN) that are efficient but have limited performance. In this study, motivated by the high performance of fast developing deep learning techniques, we propose a novel black-box modeling method for the PV modules using a new modified one-dimensional deep residual network (1-D ResNet) and measured I-V characteristic curves, which can predict a whole I-V curve at a time for arbitrary operating conditions. To alleviate the overfitting issue caused by imbalanced data, original I-V curve datasets with highly non-uniform operating conditions are resampled by a grid sampling approach to obtain the datasets with relatively uniform conditions for the subsequent modeling. The proposed 1-D ResNet based model is comprehensively verified and compared with a proposed single-diode based white-box model and three other conventional ANN based black-box models, using large datasets of measured I-V characteristic curves from the National Renewable Energy Laboratory (NREL). Experimental results indicate that black-box models are generally better than the white-box model. Especially, the proposed 1-D ResNet based PV model is obviously superior to other three conventional ANN based black-box models, in terms of accuracy, generalization performance and reliability." @default.
• W2918982803 created "2019-03-11" @default.
• W2918982803 creator A5007225481 @default.
• W2918982803 creator A5023757704 @default.
• W2918982803 creator A5038819483 @default.
• W2918982803 creator A5050820825 @default.
• W2918982803 creator A5054604435 @default.
• W2918982803 creator A5087953918 @default.
• W2918982803 date "2019-04-01" @default.
• W2918982803 modified "2023-10-17" @default.
• W2918982803 title "Accurate modeling of photovoltaic modules using a 1-D deep residual network based on I-V characteristics" @default.
• W2918982803 cites W1527723008 @default.
• W2918982803 cites W1536843765 @default.
• W2918982803 cites W1758868695 @default.
• W2918982803 cites W1970832389 @default.
• W2918982803 cites W1971598464 @default.
• W2918982803 cites W1973570292 @default.
• W2918982803 cites W1979110705 @default.
• W2918982803 cites W1980933131 @default.
• W2918982803 cites W1981047769 @default.
• W2918982803 cites W1993670883 @default.
• W2918982803 cites W1999310382 @default.
• W2918982803 cites W1999690728 @default.
• W2918982803 cites W2001274193 @default.
• W2918982803 cites W2001993733 @default.
• W2918982803 cites W2003828779 @default.
• W2918982803 cites W2029259196 @default.
• W2918982803 cites W2032076203 @default.
• W2918982803 cites W2057262800 @default.
• W2918982803 cites W2076063813 @default.
• W2918982803 cites W2080569165 @default.
• W2918982803 cites W2086371794 @default.
• W2918982803 cites W2106628646 @default.
• W2918982803 cites W2136400603 @default.
• W2918982803 cites W2144382398 @default.
• W2918982803 cites W2194775991 @default.
• W2918982803 cites W2339126074 @default.
• W2918982803 cites W2461729787 @default.
• W2918982803 cites W2464411748 @default.
• W2918982803 cites W2509515955 @default.
• W2918982803 cites W2523023460 @default.
• W2918982803 cites W2541400468 @default.
• W2918982803 cites W2554038470 @default.
• W2918982803 cites W2556345765 @default.
• W2918982803 cites W2565516711 @default.
• W2918982803 cites W2596236498 @default.
• W2918982803 cites W2614092582 @default.
• W2918982803 cites W2616897491 @default.
• W2918982803 cites W2736674815 @default.
• W2918982803 cites W2746332687 @default.
• W2918982803 cites W2751698537 @default.
• W2918982803 cites W2754764275 @default.
• W2918982803 cites W2763128055 @default.
• W2918982803 cites W2772601960 @default.
• W2918982803 cites W2777872162 @default.
• W2918982803 cites W2780115133 @default.
• W2918982803 cites W2783278578 @default.
• W2918982803 cites W2790531333 @default.
• W2918982803 cites W2795975941 @default.
• W2918982803 cites W2803170757 @default.
• W2918982803 cites W2807705159 @default.
• W2918982803 cites W2809085840 @default.
• W2918982803 cites W2886255183 @default.
• W2918982803 cites W2888248957 @default.
• W2918982803 cites W2895245271 @default.
• W2918982803 cites W2897996667 @default.
• W2918982803 cites W2898518775 @default.
• W2918982803 doi "https://doi.org/10.1016/j.enconman.2019.02.032" @default.
• W2918982803 hasPublicationYear "2019" @default.
• W2918982803 type Work @default.
• W2918982803 sameAs 2918982803 @default.
• W2918982803 citedByCount "40" @default.
• W2918982803 countsByYear W29189828032019 @default.
• W2918982803 countsByYear W29189828032020 @default.
• W2918982803 countsByYear W29189828032021 @default.
• W2918982803 countsByYear W29189828032022 @default.
• W2918982803 countsByYear W29189828032023 @default.
• W2918982803 crossrefType "journal-article" @default.
• W2918982803 hasAuthorship W2918982803A5007225481 @default.
• W2918982803 hasAuthorship W2918982803A5023757704 @default.
• W2918982803 hasAuthorship W2918982803A5038819483 @default.
• W2918982803 hasAuthorship W2918982803A5050820825 @default.
• W2918982803 hasAuthorship W2918982803A5054604435 @default.
• W2918982803 hasAuthorship W2918982803A5087953918 @default.
• W2918982803 hasBestOaLocation W29189828031 @default.
• W2918982803 hasConcept C108583219 @default.
• W2918982803 hasConcept C11413529 @default.
• W2918982803 hasConcept C119599485 @default.
• W2918982803 hasConcept C119857082 @default.
• W2918982803 hasConcept C127413603 @default.
• W2918982803 hasConcept C134306372 @default.
• W2918982803 hasConcept C154945302 @default.
• W2918982803 hasConcept C155512373 @default.
• W2918982803 hasConcept C177148314 @default.
• W2918982803 hasConcept C180932941 @default.
• W2918982803 hasConcept C188573790 @default.
• W2918982803 hasConcept C22019652 @default.
• W2918982803 hasConcept C33923547 @default.

• next