A Machine Learning Approach for Forecasting with Limited Data and for Distant Time Horizons
Time series forecasting has attracted the attention of the machine learning (ML) community to produce accurate forecasting models that address the limitations of classical methods. A large part of ML research focuses on innovative algorithms, but another important area is transitioning ML to industr...
Main Author: | Eiskowitz, Skylar |
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Other Authors: | Crawley, Edward F. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/139189 |
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