Application of deep learning for solar irradiance and solar photovoltaic multi-parameter forecast-Reference-Cited by-同舟云学术

Application of deep learning for solar irradiance and solar photovoltaic multi-parameter forecast

Published:2020-08-07 Issue: Volume: Page:1-21
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Bamisile Olusola¹,Oluwasanmi Ariyo²,Obiora Sandra³,Osei-Mensah Emmanuel⁴,Asoronye Gaylord⁵,Huang Qi¹

Affiliation:

1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China

2. School of Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China

3. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China

4. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China

5. Computer Engineering Department, Akanu Ibiam Federal Polytechnic, Unwana, Nigeria

Funder

Sichuan Youth Science and Technology Innovation Team Fund

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

Reference55 articles.

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