Evaluation and forecasting of solar radiation using time series adaptive neuro‐fuzzy inference system: Seoul city as a case study-Reference-Cited by-同舟云学术

Evaluation and forecasting of solar radiation using time series adaptive neuro‐fuzzy inference system: Seoul city as a case study

Published:2019-05-03 Issue:10 Volume:13 Page:1711-1723
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Alsharif Mohammed H.¹,Younes Mohammad K.²^ORCID

Affiliation:

1. Department of Electrical EngineeringCollege of Electronics and Information EngineeringSejong UniversityNeungdong‐ro, Gwangjin‐guSeoulRepublic of Korea

2. Department of Civil EngineeringPhiladelphia UniversityAmmanJordan

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.2018.5709

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3. South Korea's urban green energy strategies: Policy framework and local responses under the green growth

4. BP.: ‘BP statistical review of world energy’ Statistical Report June 2017

5. Can Renewable Energy Replace Nuclear Power in Korea? An Economic Valuation Analysis

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