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Intra-hour irradiance forecasting techniques for solar power integration: A review

  • Published:2021-10 Issue:10 Volume:24 Page:103136
  • ISSN:2589-0042
  • Container-title:iScience
  • language:en
  • Short-container-title:iScience

Author:

Chu Yinghao,Li Mengying,Coimbra Carlos F.M.,Feng Daquan,Wang Huaizhi

Funder

The Hong Kong Polytechnic University

Shenzhen Science and Technology Innovation Committee

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference253 articles.

1. Accurate photovoltaic power forecasting models using deep lstm-rnn;Abdel-Nasser;Neural Comput. Appl.,2019

2. Svm-based cloud detection aided by contextual information;Addesso,2012

3. Short-term spatio-temporal forecasting of photovoltaic power production;Agoua;IEEE Trans. Sustain. Energy,2017

4. A review and evaluation of the state-of-the-art in pv solar power forecasting: techniques and optimization;Ahmed;Renew. Sustain. Energy Rev.,2020
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