Building Deep Neural Network Model for Short Term Electricity Consumption Forecasting

Widyaning Chandramitasari, Bobby Kurniawan, Shigeru Fujimura

研究成果: Conference contribution

抄録

Electricity consumption forecasting has a main role in the energy supply management system of a power supply company. A power supply company needs to keep the balancing of the electricity demand and supply for their customers. The target is to forecast the electricity consumption in manufacturing company for each 30-minutes in the next day to prevent the lack of electricity supply from a power supply company. Due to this problem, it is the challenge for short term electricity time series consumption forecasting. In this work, we proposed the model of deep learning neural network with approach the combination of Long Short-Term Memory (LSTM) and Feed Forward Neural Network (FFNN) to perform the electricity forecasting. This proposed method (LSTM-FFNN) was implemented in the time-series data of electricity consumption on a manufacturing company. In our experiment, we used LSTM to perform the time-series forecasting by using historical data of electricity consumption, and we performed FFNN along with additional information which represented by one-hot encoding shape to increase the forecasting performance. Experimental results showed that LSTM-FFNN gave the better result as we compared with our baseline which is the original LSTM and Moving Average (MA) based on the Root Mean Squared Error (RMSE) score.

元の言語English
ホスト出版物のタイトルProceeding - 2018 International Symposium on Advanced Intelligent Informatics
ホスト出版物のサブタイトルRevolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ43-48
ページ数6
ISBN(電子版)9781538652800
DOI
出版物ステータスPublished - 2019 3 22
イベント2018 International Symposium on Advanced Intelligent Informatics, SAIN 2018 - Yogyakarta, Indonesia
継続期間: 2018 8 292018 8 30

出版物シリーズ

名前Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018

Conference

Conference2018 International Symposium on Advanced Intelligent Informatics, SAIN 2018
Indonesia
Yogyakarta
期間18/8/2918/8/30

Fingerprint

Electricity
Feedforward neural networks
Time series
Industry
Deep neural networks
Long short-term memory
Neural networks
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

これを引用

Chandramitasari, W., Kurniawan, B., & Fujimura, S. (2019). Building Deep Neural Network Model for Short Term Electricity Consumption Forecasting. : Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018 (pp. 43-48). [8673340] (Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAIN.2018.8673340

Building Deep Neural Network Model for Short Term Electricity Consumption Forecasting. / Chandramitasari, Widyaning; Kurniawan, Bobby; Fujimura, Shigeru.

Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 43-48 8673340 (Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018).

研究成果: Conference contribution

Chandramitasari, W, Kurniawan, B & Fujimura, S 2019, Building Deep Neural Network Model for Short Term Electricity Consumption Forecasting. : Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018., 8673340, Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018, Institute of Electrical and Electronics Engineers Inc., pp. 43-48, 2018 International Symposium on Advanced Intelligent Informatics, SAIN 2018, Yogyakarta, Indonesia, 18/8/29. https://doi.org/10.1109/SAIN.2018.8673340
Chandramitasari W, Kurniawan B, Fujimura S. Building Deep Neural Network Model for Short Term Electricity Consumption Forecasting. : Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 43-48. 8673340. (Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018). https://doi.org/10.1109/SAIN.2018.8673340
Chandramitasari, Widyaning ; Kurniawan, Bobby ; Fujimura, Shigeru. / Building Deep Neural Network Model for Short Term Electricity Consumption Forecasting. Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 43-48 (Proceeding - 2018 International Symposium on Advanced Intelligent Informatics: Revolutionize Intelligent Informatics Spectrum for Humanity, SAIN 2018).
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