Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method

Author:

Gu BoORCID,Shen Huiqiang,Lei Xiaohui,Hu Hao,Liu Xinyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference47 articles.

1. IRENA. Renewable energy statistics; 2020. https://www.irena.org/publications/2020/Jul/ Renewable-energy-statistics-2020.

2. Prediction short-term photovoltaic power using improved chicken swarm optimizer-extreme learning machine model;Zhifeng;J Cleaner Prod,2020

3. PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings;Saber;Energy,2014

4. Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network;Han;Appl Energy,2019

5. A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting;Song;Energy Convers Manage,2021

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