Short-term photovoltaic power prediction based on similar days and improved soa-dbn model

HIGHLIGHTS

  • who: WEI HU and colleagues from the School of Electrical Engineering, Xinjiang University, Urumqi, China have published the research: Short-Term Photovoltaic Power Prediction Based on Similar Days and Improved SOA-DBN Model, in the Journal: (JOURNAL)
  • what: This study proposes an improved SOA (ISOA) to solve the existing problems of the traditional SOA. In connection with this research hotspot of deep learning algorithm, the ISOA-DBN prediction model is proposed.
  • how: The calculation results are evaluated by four performance indicators. By analyzing the experimental results of the model under different weather types . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?