Sky image-based solar irradiance prediction methodologies using artificial neural networks-Reference-Cited by-同舟云学术

Sky image-based solar irradiance prediction methodologies using artificial neural networks

Published:2019-04 Issue: Volume:134 Page:837-845
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Kamadinata Jane Oktavia,Ken Tan Lit^ORCID,Suwa Tohru

Funder

Universiti Teknologi Malaysia

Takasago Thermal Engineering Co., Ltd, Japan

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference39 articles.

1. Review of the operational flexibility and emissions of gas- and coal- fired power plants in a future with growing renewables;Gonzalez-salazar;Renew. Sustain. Energy Rev.,2017

2. Solar forecasting methods for renewable energy integration;Inman;Prog. Energy Combust. Sci.,2013

3. Predicting solar radiation at high resolutions : a comparison of time series forecasts;Reikard;Sol. Energy,2009

4. An adaptive model for predicting of global, direct and diffuse hourly solar irradiance;Mellit;Energy Convers. Manag.,2010

5. A 24-h forecast of solar irradiance using artificial neural network : application for performance prediction of a grid-connected PV plant at Trieste , Italy;Mellit;Sol. Energy,2010

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