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Solar Energy(2)
Asia-Pacific Power and Energy Engineering Conference, APPEEC(1)
IEEE Transactions on Neural Networks and Learning Systems(1)
IEEE Transactions on Sustainable Energy(1)
International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018(1)
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scopus(6)
An ensemble machine learning based approach for constructing probabilistic PV generation forecasting
Conference ObjectAbstract: Photovoltaic (PV) generation forecasting plays an important role in accommodating more distributed PPalabras claves:pbkp_rediction interval, Photovoltaic, probabilistic forecasting, Quantile regression, Stochastic gradient boosting machine, UNCERTAINTYAutores:Carlos David Rodríguez-Gallegos, Gandhi O., Quan H., Sharma A., Srinivasan D., Zhang W.Fuentes:scopusA Stochastic Power Flow Study to Investigate the Effects of Renewable Energy Integration
Conference ObjectAbstract: Renewable energy sources (RESs), such as wind and solar power become an integral part of the energyPalabras claves:Line Loading, power loss, Renewable integration, Stochastic power flow, Voltage deviationAutores:Dazhi Yang, Khambadkone A.M., Quan H., Srinivasan D.Fuentes:scopusA Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids
ReviewAbstract: The high penetration level of renewable energy is thought to be one of the basic characteristics ofPalabras claves:computational intelligence, Decision-making, Neural Network (NN), pbkp_rediction interval (PI), uncertainty quantification, Wind powerAutores:Dazhi Yang, Khosravi A., Quan H., Srinivasan D.Fuentes:scopusDeep-learning-based probabilistic estimation of solar PV soiling loss
ArticleAbstract: Although the integration of solar photovoltaic (PV) systems is gaining widespread acceptance, the inPalabras claves:Convolutional neural network, deep learning, Photovoltaic (PV) system, probabilistic estimation, solar PV panel soilingAutores:Carlos David Rodríguez-Gallegos, Gandhi O., Liu S., Quan H., Srinivasan D., Zhang W.Fuentes:scopusReconciling solar forecasts: Geographical hierarchy
ArticleAbstract: To integrate solar energy into the electricity grid reliably and efficiently, different forecastingPalabras claves:forecasting, hierarchical reconciliation, Numerical weather pbkp_rediction, Spatio-temporal forecastingAutores:Dazhi Yang, Disfani V.R., Liu L., Quan H.Fuentes:scopusReconciling solar forecasts: Temporal hierarchy
ArticleAbstract: Previously in “Reconciling solar forecasts: Geographical hierarchy” [Solar Energy 146 (2017) 276–286Palabras claves:Forecast post-processing, Numerical weather pbkp_rediction, Operational forecasting, Temporal reconciliationAutores:Carlos David Rodríguez-Gallegos, Dazhi Yang, Disfani V.R., Quan H.Fuentes:scopus