Mostrando 10 resultados de: 18
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Solar Energy(5)
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International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018(2)
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings(1)
2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC(1)
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scopus(18)
Competitiveness of reactive power compensation using PV inverter in distribution system
Conference ObjectAbstract: With the increasing adoption of photovoltaic systems (PVs) in distribution system, many researchersPalabras claves:Distribution System, Photovoltaic inverters, photovoltaic systems, Reactive power dispatch optimization, Switched capacitorsAutores:Carlos David Rodríguez-Gallegos, Gandhi O., Reindl T., Srinivasan D.Fuentes:scopusAutomatic hourly solar forecasting using machine learning models
ArticleAbstract: Owing to its recent advance, machine learning has spawned a large collection of solar forecasting woPalabras claves:Automatic machine learning, Solar forecasting, R caret packageAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusAn 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:scopusCan we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?
ArticleAbstract: • Independently generated ground-based and satellite-based forecasts are compared. • The joint distrPalabras claves:Ensemble forecasting, Machine learning, Satellite-derived irradiance, solar forecastingAutores:Dazhi Yang, Gandhi O., Srinivasan D., Yagli G.M.Fuentes:scopusEnsemble solar forecasting using data-driven models with probabilistic post-processing through GAMLSS
ArticleAbstract: Forecast performance of data-driven models depends on the local weather and climate regime, which maPalabras claves:Ensemble forecasting, Forecast combination, Machine learning, Post-processing, probabilistic forecasting, TIME SERIESAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusNovel forecast-based dispatch strategy optimization for PV hybrid systems in real time
ArticleAbstract: This paper proposes a new method to optimize the scheduling of off-grid systems composed of solar paPalabras claves:forecasting, PV-battery-diesel hybrid systems, Real-Time Simulator, Scheduling optimizationAutores:Carlos David Rodríguez-Gallegos, Gandhi O., Manuel S. Alvarez-Alvarado, Reindl T., Sanjib Kumar Panda, Srinivasan D., Vinayagam L., Yagli G.M.Fuentes:scopusOperational solar forecasting for grid integration: Standards, challenges, and outlook
ReviewAbstract: The interactions between solar forecasting strategies and grid codes have a profound impact on gridPalabras claves:China grid-integration policy, Forecast downscaling, grid integration, Hierarchical forecasting, pbkp_redictabilityAutores:Dazhi Yang, Li W., Srinivasan D., Yagli G.M.Fuentes:scopus