Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380881982> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4380881982 abstract "Solar energy is going to play a crucial role in a green and clean environment by reducing pollution and global warming. Solar power generation forecasting is very important for the energy market and smart grids. The semi-structured data set was acquired from our university’s 1-Megawatt solar power facility. The data set was having twelve structured and one unstructured column. Manual entries concerning maintenance tasks and weather data are included in the unstructured column. With the help of weather parameters and maintenance operations, the unstructured column is utilized to generate new features. Random forest regressor, XG-boost, Naive Bayesian, univariate LSTM, and moving average models are applied to predict solar power generation using this data set. XG-boost and random forest regression models have less RMSE and MAE as compared to Naive Bayesian and univariate LSTM. The tree-based approaches work well with time-series data which has exogenous variables. The maintenance activities are also predicted in this research work. It is very difficult to predict the module cleaning in advance." @default.
- W4380881982 created "2023-06-17" @default.
- W4380881982 creator A5011362892 @default.
- W4380881982 creator A5011408015 @default.
- W4380881982 creator A5039286467 @default.
- W4380881982 creator A5043356030 @default.
- W4380881982 creator A5073407603 @default.
- W4380881982 creator A5092183467 @default.
- W4380881982 date "2023-05-19" @default.
- W4380881982 modified "2023-09-25" @default.
- W4380881982 title "Prediction of Solar Power Generation and Maintenance Activities for 1MW Power Plant" @default.
- W4380881982 cites W2587586954 @default.
- W4380881982 cites W2766208226 @default.
- W4380881982 cites W2966305977 @default.
- W4380881982 cites W2977155375 @default.
- W4380881982 cites W3141121221 @default.
- W4380881982 cites W3184965179 @default.
- W4380881982 cites W4308197794 @default.
- W4380881982 cites W4362694834 @default.
- W4380881982 doi "https://doi.org/10.1109/globconet56651.2023.10150076" @default.
- W4380881982 hasPublicationYear "2023" @default.
- W4380881982 type Work @default.
- W4380881982 citedByCount "0" @default.
- W4380881982 crossrefType "proceedings-article" @default.
- W4380881982 hasAuthorship W4380881982A5011362892 @default.
- W4380881982 hasAuthorship W4380881982A5011408015 @default.
- W4380881982 hasAuthorship W4380881982A5039286467 @default.
- W4380881982 hasAuthorship W4380881982A5043356030 @default.
- W4380881982 hasAuthorship W4380881982A5073407603 @default.
- W4380881982 hasAuthorship W4380881982A5092183467 @default.
- W4380881982 hasConcept C119599485 @default.
- W4380881982 hasConcept C119857082 @default.
- W4380881982 hasConcept C121332964 @default.
- W4380881982 hasConcept C124101348 @default.
- W4380881982 hasConcept C127413603 @default.
- W4380881982 hasConcept C154945302 @default.
- W4380881982 hasConcept C161584116 @default.
- W4380881982 hasConcept C163258240 @default.
- W4380881982 hasConcept C169258074 @default.
- W4380881982 hasConcept C177264268 @default.
- W4380881982 hasConcept C199163554 @default.
- W4380881982 hasConcept C199360897 @default.
- W4380881982 hasConcept C200601418 @default.
- W4380881982 hasConcept C2777618391 @default.
- W4380881982 hasConcept C41008148 @default.
- W4380881982 hasConcept C41291067 @default.
- W4380881982 hasConcept C423512 @default.
- W4380881982 hasConcept C58489278 @default.
- W4380881982 hasConcept C62520636 @default.
- W4380881982 hasConceptScore W4380881982C119599485 @default.
- W4380881982 hasConceptScore W4380881982C119857082 @default.
- W4380881982 hasConceptScore W4380881982C121332964 @default.
- W4380881982 hasConceptScore W4380881982C124101348 @default.
- W4380881982 hasConceptScore W4380881982C127413603 @default.
- W4380881982 hasConceptScore W4380881982C154945302 @default.
- W4380881982 hasConceptScore W4380881982C161584116 @default.
- W4380881982 hasConceptScore W4380881982C163258240 @default.
- W4380881982 hasConceptScore W4380881982C169258074 @default.
- W4380881982 hasConceptScore W4380881982C177264268 @default.
- W4380881982 hasConceptScore W4380881982C199163554 @default.
- W4380881982 hasConceptScore W4380881982C199360897 @default.
- W4380881982 hasConceptScore W4380881982C200601418 @default.
- W4380881982 hasConceptScore W4380881982C2777618391 @default.
- W4380881982 hasConceptScore W4380881982C41008148 @default.
- W4380881982 hasConceptScore W4380881982C41291067 @default.
- W4380881982 hasConceptScore W4380881982C423512 @default.
- W4380881982 hasConceptScore W4380881982C58489278 @default.
- W4380881982 hasConceptScore W4380881982C62520636 @default.
- W4380881982 hasLocation W43808819821 @default.
- W4380881982 hasOpenAccess W4380881982 @default.
- W4380881982 hasPrimaryLocation W43808819821 @default.
- W4380881982 hasRelatedWork W2078736197 @default.
- W4380881982 hasRelatedWork W2091018730 @default.
- W4380881982 hasRelatedWork W2098669189 @default.
- W4380881982 hasRelatedWork W2250140425 @default.
- W4380881982 hasRelatedWork W2288211993 @default.
- W4380881982 hasRelatedWork W2389064843 @default.
- W4380881982 hasRelatedWork W2402682637 @default.
- W4380881982 hasRelatedWork W2734587838 @default.
- W4380881982 hasRelatedWork W2983422845 @default.
- W4380881982 hasRelatedWork W40766040 @default.
- W4380881982 isParatext "false" @default.
- W4380881982 isRetracted "false" @default.
- W4380881982 workType "article" @default.