Load Monitoring for Benefit Assessment
| Autor: | Mandoye Ndoye, Marcel J. Castro-Sitiriche, Samira Ortiz |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Consumption (economics)
Computer science business.industry 020209 energy 020208 electrical & electronic engineering 02 engineering and technology Environmental economics Grid Positive correlation Power consumption 0202 electrical engineering electronic engineering information engineering Data analysis Key (cryptography) Electricity business Change detection |
| Zdroj: | 2018 Clemson University Power Systems Conference (PSC). |
| Popis: | In this study, we monitored power consumption to analyze the impact of energy usage on people’s well-being. Data analytics is playing a key role in grid operation and the benefits derived from it. We use change point detection techniques to identify instances where power consumption time-series significantly change. Wavelets and adaptive chisquare and Ljung–Box tests are computed to detect these changes using real-world data. It has been shown that there is a strong positive correlation between quality of life and electricity consumption in impoverished countries. Once different levels of consumption are identified due to the use of different appliances, citizens well-being derived from these levels are linked to the relevant elements described in the Gallup-Healthways Report. Furthermore, it is important to come up with methodologies that rely on affordable meters, and thus allow users to manage their power consumption in a distributed manner and maximize their well-being. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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