Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation-Reference-Cited by-同舟云学术

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Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation

Published:2021-09 Issue: Volume:453 Page:552-562
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Pan Cheng,Tan Jie,Feng Dandan

Funder

National Natural Science Foundation of China

National High-tech Research and Development Program

National Science and Technology Planning Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference56 articles.

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

2. An analog ensemble for short-term probabilistic solar power forecast;Alessandrini;Appl. Energy,2015

3. Pv power forecast using a nonparametric pv model;Almeida;Sol. Energy,2015

4. Review of photovoltaic power forecasting;Antonanzas;Sol. Energy,2016

5. Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components;Benali;Renewable energy,2019

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