The ultra-short-term photovoltaic power prediction based on multi-exposure high-resolution total sky images using deep learning
With the increasing installed capacity of renewable energy sources such as photovoltaic (PV) generation in the power system, ultra-short-term PV power prediction is more important for the stability. However, the prediction accuracy in the traditional methods cannot be guaranteed. Based on multi-expo...
Main Authors: | Yaolong Bo, Yanghong Xia, Yini Ni, Kejia Liu, Wei Wei |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723004195 |
Similar Items
-
Approximating Shading Ratio Using the Total-Sky Imaging System: An Application for Photovoltaic Systems
by: Mahmoud Dhimish, et al.
Published: (2022-11-01) -
The Ultra-Short-Term Forecasting of Global Horizonal Irradiance Based on Total Sky Images
by: Junxia Jiang, et al.
Published: (2020-11-01) -
An improved cloud recognition and classification method for photovoltaic power prediction based on total-sky-images
by: Jiacheng Tang, et al.
Published: (2019-05-01) -
Photovoltaic power prediction based on sky images and tokens-to-token vision transformer
by: Qiangsheng Dai, et al.
Published: (2023-11-01) -
Short-Term Photovoltaic Power Plant Output Forecasting Using Sky Images and Deep Learning
by: Alen Jakoplić, et al.
Published: (2023-07-01)