Image-based Solar Irradiance Forecasting Using Recurrent Neural Networks

Tsai Ping Chu, Jian Hua Jhou, Yih Guang Leu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The solar power variability is due to the variability of solar irradiance. Several factors are involved in the situation, such as cloud thickness and air pollution. In this paper, we attempt to find a novel way to predict the amount of solar irradiance. A image-based forecasting method is developed, and Long Short-Term Memory (LSTM) neural network is applied for data training. Daily solar irradiance and sky images are record by the record system, and uploaded to the MySQL database for storage. Feature values obtained by analyzing sky images are used as the input of neural network with solar irradiance. After some performance evaluation indicators were demonstrated, we found that the proposed method has good predictive performance with 5 to 60 minutes in present.

Original languageEnglish
Title of host publication2020 International Conference on System Science and Engineering, ICSSE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728159607
DOIs
Publication statusPublished - 2020 Aug
Event2020 International Conference on System Science and Engineering, ICSSE 2020 - Kagawa, Japan
Duration: 2020 Aug 312020 Sep 3

Publication series

Name2020 International Conference on System Science and Engineering, ICSSE 2020

Conference

Conference2020 International Conference on System Science and Engineering, ICSSE 2020
CountryJapan
CityKagawa
Period2020/08/312020/09/03

Keywords

  • Deep Learning
  • Image Feature
  • Recurrent Neural Network
  • Solar Irradiance Forecasting

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Civil and Structural Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization

Fingerprint Dive into the research topics of 'Image-based Solar Irradiance Forecasting Using Recurrent Neural Networks'. Together they form a unique fingerprint.

Cite this