Solar Irradiance Forecasting Based on Electromagnetism-like Neural Networks

Ke Hung Lee, Ming Wei Hsu, Yih Guang Leu

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

3 Citations (Scopus)

Abstract

This paper studies the forecasting of solar irradiance using electromagnetism-like neural networks. First, a solar irradiance information platform is set up to collect the relevant data for the solar irradiance forecasting. The solar irradiance information platform includes a pyranometer, a single board computer, a camera and a cloud server. By integrating the software and hardware of the solar irradiance information platform, real-time solar irradiances and sky images can be captured and stored in the MySQL database of the cloud server. Then, these solar irradiances and sky images are used to establish a neural network forecasting system. An improved electromagnetism-like algorithm is used to optimize the neural network prediction system. Finally, some comparison results are given to verify the effectiveness of the method proposed in this paper.

Original languageEnglish
Title of host publication1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages365-368
Number of pages4
ISBN (Electronic)9781538652671
DOIs
Publication statusPublished - 2018 Dec 7
Externally publishedYes
Event1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018 - Jeju Island, Korea, Republic of
Duration: 2018 Jul 232018 Jul 27

Publication series

Name1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018

Conference

Conference1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018
CountryKorea, Republic of
CityJeju Island
Period18/7/2318/7/27

Keywords

  • electromagnetism-like algorithms and neural networks
  • Solar irradiance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Media Technology

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