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Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering
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Specifications
| publisher | Elsevier Science Ltd |
| isbn13 | 9780323999045 |
| isbn10 | 0323999042 |
| binding | paperback |
| language | english |
| pages | 296 |
| publication_date | 2023-01-27 |
| genre | TECHNOLOGY & ENGINEERING, Power Resources, Electrical |
Product Description
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About this book
Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques published by Elsevier Science Ltd.
Related topics
power quality disturbance, power quality monitoring, machine learning, data driving algorithms, spatio-temporal algorithms, deep learning, advance signal processing algorithms, distributed generation.
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering
- ·Key concepts explained with clarity and practical examples
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Who published Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering?
Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering is published by Elsevier Science Ltd.
How many pages does Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering have?
Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering has 296 pages.
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At an average reading speed of 250 words per minute, reading Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering takes approximately 7 hours.
What is Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering about?
About this book
Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques published by Elsevier Science Ltd.
Related topics
power quality disturbance, power quality monitoring, machine learning, data driving algorithms, spatio-temporal algorithms, deep learning, advance s...
Is Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques | Paperback | Technology & Engineering suitable for beginners?
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