Name
Abstract | ||
|---|---|---|
For developing a sustainable society, energy management systems are utilized in many organizations. Chiba University of Commerce (CUC) is one of the organizations that has completely switched to renewable energy-sourced electricity for the first time in Japan. In the campus, energy consumption due to air conditioning, lightning and so on at each room is monitored. These monitoring data are stored on a data server via smart meters. In order to promote awareness to reduce electricity consumption, we need to summarize a vast amount of data so that we can interpret the data easily, and find out where we can afford to save electricity consumption. In this paper, we employ non-negative matrix factorization (NMF) for summarizing time-series electricity consumption patterns to analyze the electricity consumption data over time. Through the data analysis, we show that the visualization of factor matrices by dimensionality reduction enables us easily to interpret the low level electricity consumption data, and it gives us some awareness on energy saving. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICAwST.2019.8923311 | 2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) |
Keywords | Field | DocType |
Power Consumption,Renewable Energy,Non-negative Matrix Factorization,SDGs | Energy management,Air conditioning,Renewable energy,Computer science,Electricity,Matrix decomposition,Non-negative matrix factorization,Database server,Energy consumption,Environmental economics | Conference |
ISSN | ISBN | Citations |
2325-5986 | 978-1-7281-3822-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akira Kusaba | 1 | 0 | 0.34 |
| Tetsuji Kuboyama | 2 | 140 | 29.36 |
| Takako Hashimoto | 3 | 50 | 18.47 |