Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380346066> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W4380346066 abstract "As renewable energy generation prediction system has been introduced into the energy trading market, making a model to accurately predict the quantity of solar photovoltaic (PV) energy generation has become a significant problem. Moreover, to encourage an accurate prediction of the quantity of energy generation, an incentive system has been implemented for those who predict the quantity of solar PV energy under the error rate of 8%. Therefore, it has become more important to investigate and analyze current prediction technology numerically and develop more advanced prediction system. In this study, we tried to develop a better model to improve the accuracy of solar PV energy generation quantity by comparing three models made with gradient boosting machine (GBM), Model 1, Model 2, Model 3 respectively. Model 1 was built with the whole training data set without any additional preprocessing. After conducting some additional preprocessing procedure to predict solar energy generation more accurately, we made Model 2 with the whole training data set and Model 3 with only upper 10% of energy generation capacity. To compare the accuracy of three models, normalized mean absolute error (nMAE) was used as an evaluation index. The nMAE of Model 1 was 9.64% while the Model 2 showed 8.41%. Also, Model 3, which was constructed with the training set of upper 10% energy generation capacity, outperformed with the nMAE of 8.08%. For further study, to check the effectiveness of models constructed with GBM, a time series model, autoregressive integrated moving average (ARIMA), was also built and the nMAE was compared." @default.
- W4380346066 created "2023-06-13" @default.
- W4380346066 creator A5008503460 @default.
- W4380346066 creator A5009251968 @default.
- W4380346066 creator A5020680387 @default.
- W4380346066 creator A5039766735 @default.
- W4380346066 creator A5041374804 @default.
- W4380346066 creator A5043486744 @default.
- W4380346066 creator A5062352641 @default.
- W4380346066 creator A5087425007 @default.
- W4380346066 date "2023-06-09" @default.
- W4380346066 modified "2023-09-26" @default.
- W4380346066 title "Developing Prediction Models for Solar Photovoltaic Energy Generation Using GBM" @default.
- W4380346066 doi "https://doi.org/10.20944/preprints202306.0679.v1" @default.
- W4380346066 hasPublicationYear "2023" @default.
- W4380346066 type Work @default.
- W4380346066 citedByCount "0" @default.
- W4380346066 crossrefType "posted-content" @default.
- W4380346066 hasAuthorship W4380346066A5008503460 @default.
- W4380346066 hasAuthorship W4380346066A5009251968 @default.
- W4380346066 hasAuthorship W4380346066A5020680387 @default.
- W4380346066 hasAuthorship W4380346066A5039766735 @default.
- W4380346066 hasAuthorship W4380346066A5041374804 @default.
- W4380346066 hasAuthorship W4380346066A5043486744 @default.
- W4380346066 hasAuthorship W4380346066A5062352641 @default.
- W4380346066 hasAuthorship W4380346066A5087425007 @default.
- W4380346066 hasBestOaLocation W43803460661 @default.
- W4380346066 hasConcept C105795698 @default.
- W4380346066 hasConcept C119599485 @default.
- W4380346066 hasConcept C119857082 @default.
- W4380346066 hasConcept C121332964 @default.
- W4380346066 hasConcept C127413603 @default.
- W4380346066 hasConcept C150217764 @default.
- W4380346066 hasConcept C151406439 @default.
- W4380346066 hasConcept C154945302 @default.
- W4380346066 hasConcept C163258240 @default.
- W4380346066 hasConcept C186370098 @default.
- W4380346066 hasConcept C188573790 @default.
- W4380346066 hasConcept C24338571 @default.
- W4380346066 hasConcept C33923547 @default.
- W4380346066 hasConcept C41008148 @default.
- W4380346066 hasConcept C41291067 @default.
- W4380346066 hasConcept C423512 @default.
- W4380346066 hasConcept C50644808 @default.
- W4380346066 hasConcept C541104983 @default.
- W4380346066 hasConcept C62520636 @default.
- W4380346066 hasConceptScore W4380346066C105795698 @default.
- W4380346066 hasConceptScore W4380346066C119599485 @default.
- W4380346066 hasConceptScore W4380346066C119857082 @default.
- W4380346066 hasConceptScore W4380346066C121332964 @default.
- W4380346066 hasConceptScore W4380346066C127413603 @default.
- W4380346066 hasConceptScore W4380346066C150217764 @default.
- W4380346066 hasConceptScore W4380346066C151406439 @default.
- W4380346066 hasConceptScore W4380346066C154945302 @default.
- W4380346066 hasConceptScore W4380346066C163258240 @default.
- W4380346066 hasConceptScore W4380346066C186370098 @default.
- W4380346066 hasConceptScore W4380346066C188573790 @default.
- W4380346066 hasConceptScore W4380346066C24338571 @default.
- W4380346066 hasConceptScore W4380346066C33923547 @default.
- W4380346066 hasConceptScore W4380346066C41008148 @default.
- W4380346066 hasConceptScore W4380346066C41291067 @default.
- W4380346066 hasConceptScore W4380346066C423512 @default.
- W4380346066 hasConceptScore W4380346066C50644808 @default.
- W4380346066 hasConceptScore W4380346066C541104983 @default.
- W4380346066 hasConceptScore W4380346066C62520636 @default.
- W4380346066 hasLocation W43803460661 @default.
- W4380346066 hasOpenAccess W4380346066 @default.
- W4380346066 hasPrimaryLocation W43803460661 @default.
- W4380346066 hasRelatedWork W2056376122 @default.
- W4380346066 hasRelatedWork W2071986615 @default.
- W4380346066 hasRelatedWork W2541571801 @default.
- W4380346066 hasRelatedWork W3170433798 @default.
- W4380346066 hasRelatedWork W3199240944 @default.
- W4380346066 hasRelatedWork W3210053092 @default.
- W4380346066 hasRelatedWork W4241124813 @default.
- W4380346066 hasRelatedWork W4316658904 @default.
- W4380346066 hasRelatedWork W4318666599 @default.
- W4380346066 hasRelatedWork W4382466809 @default.
- W4380346066 isParatext "false" @default.
- W4380346066 isRetracted "false" @default.
- W4380346066 workType "article" @default.