Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks-Reference-Cited by-同舟云学术

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Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

Published:2020-12 Issue: Volume:162 Page:1665-1683
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Gao Bixuan,Huang Xiaoqiao,Shi Junsheng,Tai Yonghang,Zhang Jun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference59 articles.

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4. Simulation of the optical properties of single composite aerosols;Kocifaj;J. Aerosol Sci.,2006

5. Physical and chemical properties of surface and column aerosols at a rural New England site during MODIS overpass;Slater;Remote Sens. Environ.,2004

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