?url_ver=Z39.88-2004&rft_id=doi%3A10.3390%2Fen16104171&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=Imran&rft.au=Shafi%2C+Imran&rft.aulast=Shafi&rft.pages=4171&rft.title=Energies&rft.date=2023&rft.volume=16&rft.issn=1996-1073&rft.issue=10&rft.atitle=An+Artificial+Neural+Network-Based+Approach+for+Real-Time+Hybrid+Wind%E2%80%93Solar+Resource+Assessment+and+Power+Estimation&rft.genre=article