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Analysis of Delay Interval and Energy-Load Variation for Non-Intrusively Extracting Occupant Energy-Use Information in Commercial Buildings
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rafsanjani, Hamed Nabizadeh | - |
dc.contributor.author | Ahn, Changbum | - |
dc.contributor.author | Chen, Jiayu | - |
dc.date.accessioned | 2024-05-20T00:40:56Z | - |
dc.date.available | 2024-05-20T00:40:56Z | - |
dc.date.created | 2024-05-16 | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | COMPUTING IN CIVIL ENGINEERING 2017: SMART SAFETY, SUSTAINABILITY, AND RESILIENCE, pp.191-197 | - |
dc.identifier.uri | https://hdl.handle.net/10371/203379 | - |
dc.description.abstract | Many studies indicate that energy consumption in commercial buildings is highly related to occupants' energy-use behaviors, and improving these behaviors is regarded as the most cost-effective approach toward enhancing commercial building energy efficiency. Effective behavior-interventions rely on the availability of occupant-specific energy-use information, which is extremely expensive to capture with existing intrusive load monitoring (ILM) technologies. On the other hand, non-intrusive load monitoring (NILM) approaches have proven cost effective for monitoring appliance-specific energy consumption. In order to extend the concept of NILM to occupant energy-use monitoring in commercial buildings, this paper examines the importance of two occupancy-related energy-use variables-delay interval and energy-load variation-in identifying occupant-specific energy-use information. The results from implementing a k-Nearest Neighbors classifier into aggregate energy consumption data collected over the course of one month from a small office space reveal that these variables are effective in developing sophisticated NILM-based approaches for obtaining occupant energy consumption information. By providing this information at minimal cost, such approaches could make a great contribution to behavior-related energy research. | - |
dc.language | 영어 | - |
dc.publisher | AMER SOC CIVIL ENGINEERS | - |
dc.title | Analysis of Delay Interval and Energy-Load Variation for Non-Intrusively Extracting Occupant Energy-Use Information in Commercial Buildings | - |
dc.type | Article | - |
dc.citation.journaltitle | COMPUTING IN CIVIL ENGINEERING 2017: SMART SAFETY, SUSTAINABILITY, AND RESILIENCE | - |
dc.identifier.wosid | 000426216800024 | - |
dc.citation.endpage | 197 | - |
dc.citation.startpage | 191 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Ahn, Changbum | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
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- College of Engineering
- Department of Architecture & Architectural Engineering
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