System Development & Application
|
1101-1105

Research on two-layer decomposition technique for predicting electricity price

Yin Hao
Zeng Yun
Huang Shengquan
Dong Zhen
Guangdong University of Technology, Guangzhou 510006, China

Abstract

To solve the problems that the electricity price has a lot of volatility and a low accuracy, this paper proposed a multi-step prediction model composed of two-layer decomposition technique and back propagation neural network(BP). Firstly, this model specifically applied variational mode decomposition(VMD) to further decompose the high frequency intrinsic mode functions(IMF) generated by ensemble empirical mode decomposition(EEMD) into a number of modes. Next, it utilized BP model optimized by crisscross optimization algorithm(CSO) to forecast all sub-sequences, and obtained the forecast series of electricity price by adding up all sub-sequences. The simulation result shows that the proposed model has superior performances for other hybrid models, and it has a great practical values.

Foundation Support

广东省科技计划资助项目(2016A010104016)
广东电网公司科技项目(GDKJQQ20152066)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0925
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: System Development & Application
Pages: 1101-1105
Serial Number: 1001-3695(2019)04-032-1101-05

Publish History

[2019-04-05] Printed Article

Cite This Article

殷豪, 曾云, 黄圣权, 等. 二层分解技术在电价预测中的应用研究 [J]. 计算机应用研究, 2019, 36 (4): 1101-1105. (Yin Hao, Zeng Yun, Huang Shengquan, et al. Research on two-layer decomposition technique for predicting electricity price [J]. Application Research of Computers, 2019, 36 (4): 1101-1105. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)