Power Consumption Patterns Using Telemetry Data
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866918357121368064 |
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| author | Cheon, Harry Pang, Yuyang Hu, Zhiting Smarr, Benjamin Sebot, Julien Arbab, Bijan Shams, Ahmed |
| author_facet | Cheon, Harry Pang, Yuyang Hu, Zhiting Smarr, Benjamin Sebot, Julien Arbab, Bijan Shams, Ahmed |
| contents | This paper examines the analysis of package power consumption using Intel's telemetry data. It challenges the prevailing belief that hardware choice is the primary determinant of a device's power consumption and instead emphasizes the significant role of user behavior. The paper includes two sections: Exploratory Data Analysis (EDA) and a linear model for power consumption. The EDA section provides valuable insights from Intel's telemetry data, comparing power consumption across countries, with a specific focus on power consumption patterns in the US and China. Our simple linear model affirms those patterns and highlight the possible importance of user behavior and its influence on power consumption. Ultimately, the paper underscores the need to understand power consumption patterns and identifies areas where stakeholders like Intel can make improvements to reduce environmental impact effectively and efficiently. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_22339 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Power Consumption Patterns Using Telemetry Data Cheon, Harry Pang, Yuyang Hu, Zhiting Smarr, Benjamin Sebot, Julien Arbab, Bijan Shams, Ahmed Computers and Society This paper examines the analysis of package power consumption using Intel's telemetry data. It challenges the prevailing belief that hardware choice is the primary determinant of a device's power consumption and instead emphasizes the significant role of user behavior. The paper includes two sections: Exploratory Data Analysis (EDA) and a linear model for power consumption. The EDA section provides valuable insights from Intel's telemetry data, comparing power consumption across countries, with a specific focus on power consumption patterns in the US and China. Our simple linear model affirms those patterns and highlight the possible importance of user behavior and its influence on power consumption. Ultimately, the paper underscores the need to understand power consumption patterns and identifies areas where stakeholders like Intel can make improvements to reduce environmental impact effectively and efficiently. |
| title | Power Consumption Patterns Using Telemetry Data |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2602.22339 |