Very short-term probabilistic and scenario-based forecasting of solar irradiance using Markov-chain mixture distribution modeling

Very short-term probabilistic and scenario-based forecasting of solar irradiance using Markov-chain mixture distribution modeling

This study investigates probabilistic and scenario-based forecasting of solar irradiance with Markov-chain mixture (MCM) distribution modeling, Persistence Ensemble (PeEn) and Climatology. Forecasts from MCM models with uniform and empirical emission distribution settings, respectively, are compared...

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Bibliographic Details
Main Author: Joakim Munkhammar
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Solar Energy Advances
Subjects:
Solar irradiance
Probabilistic forecasting
Scenario-based forecasting
Markov-chain mixture distribution (MCM) forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S266711312400007X

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http://www.sciencedirect.com/science/article/pii/S266711312400007X

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