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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 朱浩華(Hao-Hua Chu) | |
dc.contributor.author | Hsin-Liu Kao | en |
dc.contributor.author | 高新綠 | zh_TW |
dc.date.accessioned | 2021-06-16T10:35:02Z | - |
dc.date.available | 2013-08-14 | |
dc.date.copyright | 2013-08-14 | |
dc.date.issued | 2013 | |
dc.date.submitted | 2013-08-14 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60891 | - |
dc.description.abstract | 要讓人們養成省電的習慣,除了利用科技去量測日常生活所消耗的電量,更需要 將這些量測資料聯結到人們的生活作息。在這篇碩士論文提出一套居家活動用電 分配量測系統,幫助計算每一項居家活動(例如煮飯或看電視)所消耗的電量。 論文中將詳述電量系統的設計理念及實作細節,並將系統真實的佈置在 3 個家庭、 共 9 位授試員、為期 4 個星期的實驗以進行系統效能評估。實驗中佈置了 57 個 測量點,共收集 1200 多個有用電的居家活動。此用電分配量測系統能正確的辨 認出 92.97%的居家活動,並且每個活動的用電量測量準確率高達 95.55%。 | zh_TW |
dc.description.abstract | Connecting power-monitoring data to everyday human activities is an important aspect of promoting energy-saving behavior. This thesis proposes an activity level power monitoring system (ALPS) that disaggregates energy consumption based on human activities (e.g., cooking and watching TV). This thesis reports the design and implementa- tion of the ALPS, and evaluated the proposed system by deploying 57 power monitoring nodes in three homes with nine participants over a 4 week period and collected over 1200 household energy-consuming activities. Results show that the proposed system successfully recognizes 92.97% of energy consuming activities, and achieves an accuracy of 95.55% in activity level energy monitoring. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T10:35:02Z (GMT). No. of bitstreams: 1 ntu-102-R00944017-1.pdf: 1495141 bytes, checksum: f283a215d9d68bdc39931c6010e634ae (MD5) Previous issue date: 2013 | en |
dc.description.tableofcontents | Acknowledgement..........................................................................................................I
致謝..............................................................................................................................V Abstract......................................................................................................................VII 摘要............................................................................................................................IX Contents.......................................................................................................................XI List of Figures...........................................................................................................XIII List of Tables............................................................................................................XIV Chapter 1 Introduction...................................................................................................1 Chapter 2 The ALPS System Design.............................................................................5 Chapter 3 Data Collection Module……........................................................................7 Chapter 4 Data Analysis Module……...........................................................................9 4.1 Activity Recognition............................................................................................9 4.1.1 Supervised Learning Approach...................................................................10 4.1.2 Rule-based Approach..................................................................................13 4.1.3 Supervised Learning vs. Rule-Based Approaches......................................14 4.2 Activity-to-Appliance Association....................................................................16 4.3 Per-activity Power Accounting..........................................................................18 4.3.1 Activity Duration Resolution......................................................................18 4.3.2 Power Accounting.......................................................................................19 Chapter 5 Experiment Design and Evaluation.............................................................21 5.1 Subjects..............................................................................................................21 5.2 Experimental Procedure.....................................................................................23 5.3 Evaluation Metrics and Results.........................................................................24 Chapter 6 Energy Feedback.........................................................................................31 Chapter 7 Discussion and Limitation...........................................................................36 Chapter 8 Related work................................................................................................38 Chapter 9 Conclusion & Future Work.........................................................................41 References....................................................................................................................42 List of Publications by the Author...............................................................................47 | |
dc.language.iso | en | |
dc.title | 居家活動用電分配量測系統之研究 | zh_TW |
dc.title | ALPS: Activity-Level Power-Monitoring System | en |
dc.type | Thesis | |
dc.date.schoolyear | 101-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 黃寶儀(Polly Huang) | |
dc.contributor.oralexamcommittee | 陳文村(Wen-Tsuen Chen),曾煜棋(Yu-Chee Tseng),陳伶志(Ling-Jyh Chen) | |
dc.subject.keyword | 設計,實驗,居家活動的電量量測,用電分配量測系統, | zh_TW |
dc.subject.keyword | Design,Experimentation,Per-Activity Power Monitoring,Power Consumption Monitoring, | en |
dc.relation.page | 48 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2013-08-14 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
顯示於系所單位: | 資訊網路與多媒體研究所 |
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