Mostrando 8 resultados de: 8
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Publisher
Renewable and Sustainable Energy Reviews(2)
2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings(1)
Applied Energy(1)
Asia-Pacific Power and Energy Engineering Conference, APPEEC(1)
IEEE Transactions on Neural Networks and Learning Systems(1)
Área de conocimiento
Energía renovable(6)
Aprendizaje automático(5)
Algoritmo(1)
Energía solar(1)
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scopus(8)
Automatic 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 Reinforcement learning algorithm for Agent-based Computational Economics (ACE) model of electricity markets
Conference ObjectAbstract: Electricity markets in countries around the world are being restructured in pursuit of economic effiPalabras claves:agent-based modeling, deregulated electricity market, Particle Swarm Optimization, reinforcement learningAutores:Khambadkone A.M., Lau Y.F.A., Parasumanna B.G., Radhakrishnan B.M., Rathore A.K., Sanjib Kumar Panda, 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:scopusA multi-agent based integrated volt-var optimization engine for fast vehicle-to-grid reactive power dispatch and electric vehicle coordination
ArticleAbstract: Electric Vehicles have been receiving increasing attention. As the number of electric vehicles increPalabras claves:Charging coordination, electric vehicle, Multi-Agent System, Var dispatch, vehicle-to-grid, Volt-var optimizationAutores:Carlos David Rodríguez-Gallegos, Gandhi O., Quan H., Srinivasan D., Zhang W.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: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:scopusSub-minute probabilistic solar forecasting for real-time stochastic simulations
ArticleAbstract: Simulation needs to reflect reality, otherwise, it yields misleading results that are potentially haPalabras claves:Analog ensemble, Lasso, probabilistic forecasting, solar forecasting, Stochastic simulationsAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopus