Svu-international journal of engineering sciences and applications (2022) 3(2): 123-130 print issn 2785-9967 | online issn 2735-4571 doi

HIGHLIGHTS

• who: engab from the (UNIVERSITY) have published the Article: SVU-International Journal of Engineering Sciences and Applications (2022) 3(2): 123-130 Print ISSN 2785-9967 | Online ISSN 2735-4571 DOI, in the Journal: (JOURNAL)
• what: Forecasting the output power from various RESs is the main reason for the stability of the system, by helping to develop a control system that allows maintaining the energy produced at its specified value. In this paper, a MLFFNN is proposed to predict the power for the solar PV power station.
• how: In this paper MLFFNN is . . .
  

   

  

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