### 抜粋

For a daily-basis scheduling of an energy system, energy management system often enough to use not a global optimal scheduling but a near optimal scheduling. The article proposes an online scheduling framework without online optimization. The framework is built from two encoder-decoder architectures to extract features of time series; a multi-layer long short-term memory regression model for multi-step time-series forecasting, and multi-class and single-label classification model for on/off scheduling of a device. The models are estimated at offline, and return scheduling from historical time series as input, at online. We evaluate the accuracy of scheduling from the viewpoint of Kullback-Leibler divergence which measures the dissimilarity between two probability distributions. Through the numerical experiments, we demonstrate the usefulness of the proposed framework.

元の言語 | English |
---|---|

ホスト出版物のタイトル | ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems |

編集者 | Wojciech Stanek, Pawel Gladysz, Sebastian Werle, Wojciech Adamczyk |

出版者 | Institute of Thermal Technology |

ページ | 1327-1335 |

ページ数 | 9 |

ISBN（電子版） | 9788361506515 |

出版物ステータス | Published - 2019 |

イベント | 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2019 - Wroclaw, Poland 継続期間: 2019 6 23 → 2019 6 28 |

### 出版物シリーズ

名前 | ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems |
---|

### Conference

Conference | 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2019 |
---|---|

国 | Poland |

市 | Wroclaw |

期間 | 19/6/23 → 19/6/28 |

### ASJC Scopus subject areas

- Energy(all)
- Engineering(all)
- Environmental Science(all)

## フィンガープリント An online HEMS scheduling method based on deep recurrent neural network' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

## これを引用

*ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems*(pp. 1327-1335). (ECOS 2019 - Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems). Institute of Thermal Technology.