?url_ver=Z39.88-2004&rft_id=1615031084&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PERAMALAN+BEBAN+PUNCAK+PROVINSI+LAMPUNG+DENGAN+JARINGAN+SYARAF+TIRUAN+FEED-FORWARD+TIME+DELAY&rft.creator=ABY+%2C+VIRANGGA&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.description=Sistem+tenaga+listrik+dalam+pengoperasiannya+harus+selalu+dalam+keadaan+seimbang+antara+pembangkitan+dengan+beban+yang+terhubung.+Untuk+pengoperasiaan+sistem+pembangkit+listrik+harus+mengikuti+kebutuhan+beban+listrik.+Peramalan+beban+listrik+menjadi+penting+dalam+menjamin+ketersediaan+daya+listrik+dalam+memenuhi+kebutuhan+masyarakat+sehari-hari.+Terdapat+berbagai+metode+dalam+peramalan+beban+listrik+jangka+pendek%2C+antara+lain+yaitu+jaringan+syaraf+tiruan+dan+penggunaan+Teknik+statistik+seperti+regresi.+Pada+penelitian+ini+metode+yang+digunakan+adalah+metode+jaringan+syaraf+tiruan+dengan+pendekatan+fast-forward+time-delay.+Dalam+proses+belajaranya%2C+jaringan+syaraf+tiruan+melakukan+pengenalan+pola+beban+listrik+tiap+tahun%2C+sehingga+mampu+memprakirakan+beban+listrik+pada+hari+yang+akan+datang.+Prediksi+beban+puncak+listrik+pada+provinsi+Lampung+menggunakan+data+jumlah+penduduk%2C+jumlah+pelanggan+dan+daya+tersambung+tahun+2001-2021+dengan+rata-rata+MAPE+sebesar+2.97%25.+Hasil+peramalan+untuk+beban+puncak+listrik+provinsi+Lampung+pada+tahun+2022-2030+adalah+988.481+MW%2C+1037.69+MW%2C+1086.9+MW%2C+1136.11+MW%2C+1185.319+MW%2C+1234.529+MW%2C+1283.739+MW%2C+1332.948+MW%2C+1382.159+MW.%0D%0A%0D%0AKata+Kunci%3A+Peramalan%2C+Beban+Puncak%2C+Jaringan+Syaraf+Tiruan%2C+Fast-Forward+Time-Delay+%0D%0A%0D%0A%0D%0A%0D%0A%0D%0A%0D%0AThe+electric+power+system+in+operation+must+always+be+in+a+state+of+balance+between+generation+and+connected+loads.+For+the+operation+of+the+power+generation+system%2C+it+must+follow+the+needs+of+the+electric+load.+Forecasting+the+electric+load+is+important+in+ensuring+the+availability+of+electric+power+to+meet+people's+daily+needs.+There+are+various+methods+in+forecasting+short-term+electrical+loads%2C+including+artificial+neural+networks+and+the+use+of+statistical+techniques+such+as+regression.+In+this+study+the+method+used+is+the+method+of+artificial+neural+network+approachfast-forward+time-delayed.+In+the+learning+process%2C+the+artificial+neural+network+performs+pattern+recognition+of+the+electrical+load+each+year%2C+so+that+it+is+able+to+predict+the+electrical+load+in+the+future.+The+prediction+of+the+peak+electricity+load+in+Lampung+province+uses+data+on+population%2C+number+of+subscribers+and+connected+power+for+2001-2021+with+an+average+MAPE+of+2.97%25.+Forecasting+results+for+Lampung+province's+electricity+peak+load+in+2022-2030+are+988%2C481+MW%2C+1037.69+MW%2C+1086.9+MW%2C+1136.11+MW%2C+1185%2C319+MW%2C+1234%2C529+MW%2C+1283%2C739+MW%2C+1332%2C948+MW%2C+1382%2C159+MW.%0D%0A%0D%0AKeywords%3A+Forecasting%2C+Peak+Load%2C+Artificial+Neural+Network%2CFast-Forward+Time-Delay.%0D%0A&rft.publisher=FAKULTAS+TEKNIK&rft.date=2023-04-10&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F71109%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F71109%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F71109%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++ABY+%2C+VIRANGGA++(2023)+PERAMALAN+BEBAN+PUNCAK+PROVINSI+LAMPUNG+DENGAN+JARINGAN+SYARAF+TIRUAN+FEED-FORWARD+TIME+DELAY.++FAKULTAS+TEKNIK%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F71109%2F