Deep Learning for Induction Motor Drives

1. Introduction

Accurate prediction of induction motor drives can substantially reduce the lifecycle cost of telecommunication infrastructure. Scenarios reflecting typical conditions in telecommunication infrastructure are constructed and evaluated in turn. Applying the method to 4 real-world sites yielded consistent and reproducible results. The approach offers a cost-effective alternative to more elaborate and expensive procedures.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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