PVHybNet: a hybrid framework for predicting photovoltaic power generation using both weather forecast and observation data-Reference-Cited by-同舟云学术

PVHybNet: a hybrid framework for predicting photovoltaic power generation using both weather forecast and observation data

Published:2020-07-17 Issue:12 Volume:14 Page:2192-2201
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Carrera Berny¹,Sim Min‐Kyu²^ORCID,Jung Jae‐Yoon¹

Affiliation:

1. Department of Industrial and Management Systems EngineeringKyung Hee University1732, Deogyeong‐daero, Giheung‐gu, Yongin‐siGyeonggi‐do17104Republic of Korea

2. Department of Industrial and Systems EngineeringSeoul National University of Science and Technology232 Gongneung‐ro, Nowon‐guSeoul01811Republic of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2018.6174

Reference36 articles.

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