@article{ART002395872},
author={Ko Sangjun and Ho-Yeong Yun and Dong-Myung Shin},
title={Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2018},
volume={14},
number={1},
pages={33-40}
TY - JOUR
AU - Ko Sangjun
AU - Ho-Yeong Yun
AU - Dong-Myung Shin
TI - Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks
JO - Journal of Software Assessment and Valuation
PY - 2018
VL - 14
IS - 1
PB - Korea Software Assessment and Valuation Society
SP - 33
EP - 40
SN - 2092-8114
AB - Power demand prediction is used to detect anomalies such as machine malfunction and power off when the measured power amount deviates from the predicted power amount by a certain range in the industrial sector. Power data is difficult to predict because it is time series data with strong seasonality and trend.
In this paper, a power prediction model based on bi-directional LSTM algorithm, which is a deep learning based algorithm and the most popular algorithm in recent years, has been established along with LSTM. The model was learned, evaluated, and verified using four years of power data.
KW - Electronic Demand Prediction;Deep Learning;Recurrent Neural Network;Bidirectional Long Short Term Memory Networks
DO -
UR -
ER -
Ko Sangjun, Ho-Yeong Yun and Dong-Myung Shin. (2018). Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks. Journal of Software Assessment and Valuation, 14(1), 33-40.
Ko Sangjun, Ho-Yeong Yun and Dong-Myung Shin. 2018, "Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks", Journal of Software Assessment and Valuation, vol.14, no.1 pp.33-40.
Ko Sangjun, Ho-Yeong Yun, Dong-Myung Shin "Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks" Journal of Software Assessment and Valuation 14.1 pp.33-40 (2018) : 33.
Ko Sangjun, Ho-Yeong Yun, Dong-Myung Shin. Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks. 2018; 14(1), 33-40.
Ko Sangjun, Ho-Yeong Yun and Dong-Myung Shin. "Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks" Journal of Software Assessment and Valuation 14, no.1 (2018) : 33-40.
Ko Sangjun; Ho-Yeong Yun; Dong-Myung Shin. Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks. Journal of Software Assessment and Valuation, 14(1), 33-40.
Ko Sangjun; Ho-Yeong Yun; Dong-Myung Shin. Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks. Journal of Software Assessment and Valuation. 2018; 14(1) 33-40.
Ko Sangjun, Ho-Yeong Yun, Dong-Myung Shin. Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks. 2018; 14(1), 33-40.
Ko Sangjun, Ho-Yeong Yun and Dong-Myung Shin. "Electronic Demand Data Prediction using Bidirectional Long Short Term Memory Networks" Journal of Software Assessment and Valuation 14, no.1 (2018) : 33-40.