Leveraging Elastic Demand for Forecasting
September 09, 2018 ยท Declared Dead ยท ๐ International Conference on Machine Learning and Applications
"No code URL or promise found in abstract"
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Authors
Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang
arXiv ID
1809.03018
Category
stat.ML: Machine Learning (Stat)
Cross-listed
cs.LG
Citations
1
Venue
International Conference on Machine Learning and Applications
Last Checked
4 months ago
Abstract
Demand variance can result in a mismatch between planned supply and actual demand. Demand shaping strategies such as pricing can be used to shift elastic demand to reduce the imbalance. In this work, we propose to consider elastic demand in the forecasting phase. We present a method to reallocate the historical elastic demand to reduce variance, thus making forecasting and supply planning more effective.
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