On the Use of Maximum Likelihood and Input Data Similarity to Obtain Prediction Intervals for Forecasts of Photovoltaic Power Generation

논문상세정보
' On the Use of Maximum Likelihood and Input Data Similarity to Obtain Prediction Intervals for Forecasts of Photovoltaic Power Generation' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • maximum likelihood estimation
  • one-day-ahead forecasts
  • photovoltaic power generation
  • prediction intervals
  • support vector regression
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
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' On the Use of Maximum Likelihood and Input Data Similarity to Obtain Prediction Intervals for Forecasts of Photovoltaic Power Generation' 의 참고문헌

  • of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan
    J. G. da S. Fonseca Progress in Photovoltaics Research and Applications 20 (7) : 874 ~ 882 [2012]
  • Weather Modeling and Forecasting of PV Systems Operation
    M. Paulescu Springer [2012]
  • Uncertainty Information in Forecasts of Photovoltaic Power Generation with Support Vector Regression: A Preliminary Study
    J.G.S. Fonseca Jr Proceedings of the 17th International Con-ference on intelligent System Applications to Power Systems [2013]
  • Simple probabilistic predictions for support vector regression
    C. J. Lin [2004]
  • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    J. Platt Advances in Large Margin Classifiers 10 (3) : 61 ~ 74 [1999]
  • Predictive Inference
    S. Geisser CRC Press [1993]
  • Photovoltaic Forecasting: A state of the art
    B. Espinar Proceedings 5th European PVHybrid and Mini-Grid Conference : 250 ~ 255 [2010]
  • On the Use of Maximum Likelihood Estimation and Data Similarity to Obtain Prediction Intervals for Forecasts of Photovoltaic Power Generation
    J. G. da S. Fonseca Jr Proceedings of the International Conference on Electrical Engineering 2014 : 1181 ~ 1188 [2014]
  • Forecast of Ensemble Power Production by Grid-Connected PV Systems
    E. Lorenz Proceedings of the 20th European PV Conference : 3.9 ~ 7.9 [2007]
  • Application of Neural Network to One-Day-Ahead 24 hours Generating Power Forecasting for Photovoltaic System
    A. Yona Proceedings of International Conference on Intelli-gent Systems Applications to Power Systems 2007 : 1 ~ 6 [2008]
  • A Comprehensive Study of Photovoltaic Power Generation Forecasts in Multiple Locations in Japan
    J. G. da S. Fonseca Jr Proceedings of the 28th European Photovoltaic Solar Energy Conference and Exhibition : 3601 ~ 3606 [2013]
  • A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy
    A. Mellit Solar Energy 84 (5) : 807 ~ 821 [2010]