Simultaneous prediction for multiple source–loads based sliding time window and convolutional neural network
Practical applications of perception, communication, computing, etc. in modern energy industry continually generate large scale data from diversified monitoring terminals. Such massive information has the characteristics like heterogeneity, time sequence, low value density, etc. To promptly obtain h...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722008010 |