Author:
Cheng Yao,Xu Chang,Mashima Daisuke,Thing Vrizlynn L. L.,Wu Yongdong
Publisher
Springer International Publishing
Reference29 articles.
1. Umass smart* dataset - 2017 release.
http://traces.cs.umass.edu/index.php/Smart/Smart
2. Alberg, D., Last, M.: Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms. In: Asian Conference on Intelligent Information and Database Systems, pp. 299–307 (2017)
3. Anderson, B., Lin, S., Newing, A., Bahaj, A., James, P.: Electricity consumption and household characteristics: Implications for census-taking in a smart metered future. Comput. Environ. Urban Syst. 63, 58–67 (2017)
4. Arora, S., Taylor, J.W.: Forecasting electricity smart meter data using conditional kernel density estimation. Omega 59, 47–59 (2016)
5. Bansal, A., Rompikuntla, S.K., Gopinadhan, J., Kaur, A., Kazi, Z.A.: Energy consumption forecasting for smart meters. arXiv preprint
arXiv:1512.05979
(2015)
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