Short Term Solar Irradiation Forecasting using CEEMDAN Decomposition Based BiLSTM Model Optimized by Genetic Algorithm Approach
An accurate short-term solar irradiation forecasting is requiredregarding smart grid stability and to conduct bilateral contract negotiations between suppliers and customers. Traditional machine learning models are unable to acquire and to rectify nonlinear properties from solar datasets, which not...
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| Format: | Article |
| Language: | English |
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Diponegoro university Indonesia - Center of Biomass and Renewable Energy (CBIORE)
2022
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| Online Access: | View Fulltext in Publisher |