Analyzing load profiles of electricity consumption by a time series data mining framework

I. Chin Wu, Tzu Li Chen, Yen Ming Chen, Tzu Chi Liu, Yi An Chen

研究成果: 書貢獻/報告類型會議貢獻

摘要

Given the problems of gradual oil depletion and global warming, energy consumption has become a critical factor for energy-intensive sectors, especially the semiconductor, manufacturing, iron and steel, and aluminum industries. In turn, reducing energy consumption for sustainability and both tracking and managing energy efficiently have become critical challenges. In response, we analyzed electricity consumption from the perspective of load profiling, which charts variation in electrical load during a specified period in order to track energy consumption. As a result, we proposed a time series data mining and analytic framework for electricity consumption analysis and pattern extraction by streaming data mining and machine learning techniques. We identified key factors to predict the state of the annealing furnace and detect abnormal patterns of the load profile of their electricity consumption. Our experimental results show that the dimension reduction method known as piecewise aggregate approximation can help to detect the state of the annealing furnace.

原文英語
主出版物標題HCI in Business, Government and Organizations
主出版物子標題Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings
編輯Chuan-Hoo Tan, Fiona Fui-Hoon Nah
發行者Springer Verlag
頁面443-454
頁數12
ISBN(列印)9783319584836
DOIs
出版狀態已發佈 - 2017 一月 1
對外發佈Yes
事件14th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2017 - Espoo, 芬兰
持續時間: 2017 七月 32017 七月 6

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10294 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議14th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2017
國家芬兰
城市Espoo
期間17/7/317/7/6

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • 引用此

    Wu, I. C., Chen, T. L., Chen, Y. M., Liu, T. C., & Chen, Y. A. (2017). Analyzing load profiles of electricity consumption by a time series data mining framework. 於 C-H. Tan, & F. F-H. Nah (編輯), HCI in Business, Government and Organizations: Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings (頁 443-454). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 10294 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58484-3_35