A Holistic Approach to Power Systems Using Innovative Machine Learning and System Dynamics
The digital revolution requires greater reliability from electric power systems. However, predicting the growth of electricity demand is challenging as there is still much uncertainty in terms of demographics, industry changes, and irregular consumption patterns. Machine learning has emerged as a po...
Main Authors: | Ibrahim, Bibi, Rabelo, Luis, Sarmiento, Alfonso T., Gutierrez-Franco, Edgar |
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Other Authors: | Massachusetts Institute of Technology. Center for Transportation & Logistics |
Format: | Article |
Published: |
Multidisciplinary Digital Publishing Institute
2023
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Online Access: | https://hdl.handle.net/1721.1/151113 |
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