Hierarchical Clustering and Deep Learning for Short-Term Load Forecasting with Influenced Factors

Hierarchical Clustering and Deep Learning for Short-Term Load Forecasting with Influenced Factors

Stable and reliable electricity is one of the essential things that must be maintained by the transmission system operator (TSO). That can be achieved when the TSO is able to set the balance between demand and production. To maintain the balance between production and demand, TSO should estimate how...

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Bibliographic Details
Main Authors: Rio Indralaksono, M. Abdul Wakhid, Novemi Uki A, Galih Hendra Wibowo, M. Abdillah, Agus Budi Rahardjo, Diana Purwitasari
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2022-08-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
forecasting, electricity, load, long short-term memory, analytical hierarchical clustering
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/4282

Internet

http://jurnal.iaii.or.id/index.php/RESTI/article/view/4282

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