Short-term solar PV forecasting using computer vision: The search for optimal CNN architectures for incorporating sky images and PV generation history-Reference-Cited by-同舟云学术

Short-term solar PV forecasting using computer vision: The search for optimal CNN architectures for incorporating sky images and PV generation history

Published:2019-11 Issue:6 Volume:11 Page:066102
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Venugopal Vignesh¹,Sun Yuchi¹,Brandt Adam R.¹

Affiliation:

1. Stanford University, Stanford, California 94305, USA

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5122796

Reference33 articles.

1. Short-term reforecasting of power output from a 48 MWe solar PV plant

2. Intra-hour forecasts of solar power production using measurements from a network of irradiance sensors

3. Very short term forecasting of the Global Horizontal Irradiance using a spatio-temporal autoregressive model

4. Deep photovoltaic nowcasting

5. Univariate and multivariate methods for very short-term solar photovoltaic power forecasting

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