ANALYSYS OF LONG SHORT-TERM MEMORY (LSTM) AND WAVELET DECOMPOSITION APPROACH FOR DEMAND FORECASTING OF DISTRIBUTION TRANSFORMER: STUDY CASE PLN UP3 BALIKPAPAN

ANALYSYS OF LONG SHORT-TERM MEMORY (LSTM) AND WAVELET DECOMPOSITION APPROACH FOR DEMAND FORECASTING OF DISTRIBUTION TRANSFORMER: STUDY CASE PLN UP3 BALIKPAPAN

In the electrical system, distribution transformers play a critical role in transmitting electrical energy from high voltage to low voltage according to customer needs. Accurate planning of distribution transformer requirements is crucial, considering the dynamic and fluctuating energy consumptio...

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Bibliographic Details
Main Author:	Bagaswara, Tito
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/86906
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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