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Probabilistic prediction of solar power supply to distribution networks, using forecasts of global horizontal irradiation

  • Published:2020-06 Issue: Volume:203 Page:145-156
  • ISSN:0038-092X
  • Container-title:Solar Energy
  • language:en
  • Short-container-title:Solar Energy

Author:

von Loeper F.,Schaumann P.,de Langlard M.,Hess R.,Bäsmann R.,Schmidt V.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On soft measurement modeling for predicting photovoltaic power with uncertainty based on the Takagi–Sugeno model;Measurement Science and Technology;2024-08-08

2. Forecasting Global Horizontal Irradiance to Evaluate Battery Capacity under PV Uncertainty in a Rural Area of Bangladesh;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

3. DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands;CSEE Journal of Power and Energy Systems;2024

4. Probabilistic Solar Generation Forecasting for Rapidly Changing Weather Conditions;IEEE Access;2024

5. Ultra-short-term Irradiation Prediction Based on Ground-based Cloud Images and Deep Learning;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15
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