Long Short Term Memories for Microhydro Power Forecasting
Author:
Affiliation:
1. Institut Teknologi Kalimantan,Electrical Engineering,Balikpapan,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10426792/10427558/10427902.pdf?arnumber=10427902
Reference10 articles.
1. Electrical Load Forecasting Using Time Series Analysis
2. OPTIMIZATION OF THE FEASIBILITY OF MICRO HYDRO POWER PLANT (PLTMH) RAMPUSA SUB DISTRICT OF LEMBANG REGENCY PINRANG
3. Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately
4. Short- Term Load Forecasting of the Batu City Electricity System Using Deep Learning Long Short-Term Memory;Purnomo;Transmission: Scientific Journal of Electrical Engineering,2021
5. Prediction of Indonesian Palm Oil Production Using Long Short-Term Memory Recurrent Neural Network (LSTM-RNN)
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